تحصیل در ایتالیا | Apply Piu

نوروز پیروز ❤️ سالی پر از سلامتی و شادی و موفقیت باشه برای همه و البته سال بدون جمهوری اسلامی. به امید آزادی ایران ❤️ یاد همه ی جاويدنامان راه آزادی گرامی

دوستان اگه یوقت کسی برای مصاحبه کترای پلیتو پذیرفته شده و مصاحبرو از دست داده - a 15‑day extension for the possibility of taking online interviews for access to PhD scholarships (around 35 Iranian candidates were unable to connect, and the opportunity will be extended for them) یجوری به دانشگاه اطلاع بده

این پیام برای دانشجوهای ایرانی خارج از ایران هست (اروپا، آمریکای شمالی و...) 👇👇👇👇👇👇👇 لطفا اگه الان زمان اپلای اون دانشگاهی هست که الان دارین درس میخونین، به آفیس مربوط به دانشجوهای بین المللی و پذیرش دانشجو ایمیل بزنین و بهشون بگین که در ایران وضعیت چجوریه و اینترنت قطع هست و دانشجویان ایرانی نمیتونن اپلای کنین، ازشون بخواین این شرایط رو درک کنن و شرایط متفاوتی برای دانشجویان ایرانی در نظر بگیرن (ددلاین دیگه ای قرار بدن و هر کار دیگه ای که لازمه) لطفا همه انجام بدیم. خیلی از بچه های ایرانی که الان توی خیابونا دارن انقلاب میکنن، سال ها زحمت کشیدن برای اپلای، زبان خوندن و مدارک اماده کردن، به نظرم باید در این مورد هم حمایتشون کنیم. به امید آزادی ایرانمون ❤️

شهیدان راه آزادی یاسین رضایی دانشجوی دانشگاه مسینا در ایتالیا نیما پارسا مدرس زبان ایتالیایی که ویدیوهای آموزشیش رو به رایگان در یوتیوب قرار می‌داد روحشون شاد 🖤 به امید آزادی ایران

تحصیل در ایتالیا | Apply Piu pinned «بچه های ایتالیا و بقیه کشورها این پیام رو بخونین لطفا از لینک کشوری که هستین رو انتخاب کنین: ایتالیا بعدش خودش اپلیکیشن ارسال ایمیلی که دارین مثلا gmail رو باز میکنه و بعدش شما فقط ارسال میکنین. خیلی سریعو وقتی ازتون نمیگیره. ولی میتونیم صدای مردممون باشیم…»

بچه های ایتالیا و بقیه کشورها این پیام رو بخونین لطفا از لینک کشوری که هستین رو انتخاب کنین: ایتالیا بعدش خودش اپلیکیشن ارسال ایمیلی که دارین مثلا gmail رو باز میکنه و بعدش شما فقط ارسال میکنین. خیلی سریعو وقتی ازتون نمیگیره. ولی میتونیم صدای مردممون باشیم و از دولت های خارجی بخوایم حمایت کنن. لطفا انجام بدین و برای دوستاتون هر جایی هستین بفرستین https://free-iran.vercel.app/?fbclid=IwY2xjawPSWKtleHRuA2FlbQIxMABicmlkETFGelNpeHNIRTlUWUoxNlRRc3J0YwZhcHBfaWQQMjIyMDM5MTc4ODIwMDg5MgABHnQBmrTcVNUWSaN_--4cmzBOwiJmXEPHB2-M7Zwb02qqNCoUp_hdyJlkehUc_aem_8Qek0BcoDwHg3XUR2g2SoQ اسحاق به امید آزادی ایران❤️

موقعیت دکتر فول فاند در انگلیس We are currently recruiting a #fullyfunded #PhD candidate in #DecisionAnalytics and Risk at the University of Southampton Business School. This opportunity is aimed at highly motivated candidates interested in addressing pressing research problems in #management and #analytics, with a strong emphasis on conceptual depth, methodological rigour, and real-world relevance. 💫 What we offer: 🔹 Full funding (tuition fees + stipend) 🔹 Supervision from leading researchers across Management disciplines 🔹 Access to strong research resources and academic support 🔹 A collaborative, intellectually demanding environment that values critical thinking and original ideas 💡 What we are looking for: 🔹 A solid academic background 🔹 Strong engagement with theory and the ability to develop original arguments 🔹 Methodological rigour 🔹 A genuine interest in making meaningful contributions to analytics ✍ Application details Full details and application process: https://lnkd.in/eZQm93XW ✍ Application deadline: Friday, 9 January 2026 For informal enquiries, please contact: S.Krammer@soton.ac.uk

https://youtu.be/WuXgFVQ0nac

فرصت دکترا در دانشگاه York کانادا I am seeking candidates for four fully funded PhD positions in my lab (https://neuro-ic.com) for Summer/Fall 2026. If you are interested in developing analog/mixed-signal neural interface circuits, on-chip intelligent processing (digital/neuromorphic), and RF/ultrasonic systems for wireless power and data telemetry in implantable and wearable brain–computer interfaces, please apply here: https://lnkd.in/gnjcMVAM Successful applicants will receive: • Full financial support • Access to tools and facilities for microsystems design, fabrication, packaging, and testing • Opportunities for interdisciplinary research with collaborators in neurology, neuroscience, biology, and computer science

#فوری اطلاعیه جدید سفارت ایتالیا امکان درخواست وقت های ویزای تحصیلی (مقطع کارشناسی ارشد و کارشناسی) به زبان انگلیسی

موقعیت دکترا در دانشگاه لوکزامبورگ 📢 PhD position available! I have a PhD position available on the topic of AI and Machine Learning for Biomedical Image Analysis. 🔗 More info and application link: https://lnkd.in/eYxbYTSu Feel free to share!

موقعیت دکترا در دانشگاه بوکونی ایتالیا 📢 PhD Opportunities at Bocconi University in Milan! Applications are now open for the 4-year PhD program in Statistics and Computer Science at Bocconi University. We welcome candidates interested in a wide range of research areas, including Statistics, Machine Learning, and Computer Science. My current research focuses on Computer Vision and Video Understanding, and I’m happy to hear from motivated and enthusiastic students who’d like to explore related topics. Feel free to reach out if you’d like to discuss possible research directions! 📅 Application deadline: 5 February 2026 🌐 More info & application: https://lnkd.in/dhJR5vAw

پوزیشن دکترا در انگلیس 🌟 PhD Opportunity in Machine Learning – University of Bristol (Start: September 2026) Are you passionate about developing intelligent systems that learn, adapt, and make decisions in complex real-world settings? I’m recruiting highly motivated PhD students to join my group at the University of Bristol! The project will focus on developing sequential decision-making methods (Bayesian optimisation, reinforcement learning) — and exploring their applications in health systems. An ideal candidate will have a strong background in machine learning, statistics, or a related field, along with enthusiasm for both methodological innovation and real-world impact. 🔗 More details about research directions and how to apply: https://lnkd.in/e3mq6P5F 📩 If this sounds exciting to you, I’d love to hear from you! Please feel free to get in touch with any questions — and kindly reshare if you know someone who might be interested.

موقعیت دکترا در دانمارک PhD Opportunity! AI-Enhanced Modelling of Processing - at DTU Food – Apply by 6 November! Are you passionate about food processing, modelling, and improving health through smarter food systems? Join a cutting-edge PhD project at the Research Group for Food Production Engineering, DTU National Food Institute, Technical University of Denmark. This exciting project blends AI, mechanistic modelling, and experimental science to explore how processing impacts the quality of ultra-processed foods (UPFs). Be part of shaping the future of food through innovation and interdisciplinary research. Apply at the following link, https://lnkd.in/dZiU25ar Before 6th of November Required: MSc in food/chemical/bioprocess engineering or related field

چند تا پوزیشن جذاب پست داک Postdoctoral Programs Now accepting applications for the Max Planck-Weizmann Joint Postdoctoral Program in the fields of: • Life Sciences, Chemistry, Physics, Earth Science, Mathematics & Computer Science Our benefits: • Competitive annual fellowship of up to €67,946 • Comprehensive, four-year training at two world-leading institutions • Enhance career perspectives • Travel support • Full benefits package, including full family health insurance, childcare subsidies, vacation days, relocation expenses, and subsidized housing Click on the link for more information and to apply >> Deadline: December 3, 2025 https://www.weizmann.ac.il/sites/mpg-wis/application-process?utm_medium=ppc&utm_source=linkedin&utm_campaign=mpg+wis+joint+postdoc+dec2025&li_fat_id=4e7deb4f-5d33-4b8e-b059-c12c7441c4cd

https://youtu.be/36qSSYTBpDQ?si=j0xlboRuM2oZCH-U

● Master’s degree in STEM, Economics, Finance or related fields ● A strong passion and outstanding skills in data science and experience working with programming languages and statistical software such as Python, C++, C# or R; ● Knowledge on quantitative modeling of financial markets, econometric techniques, machine learning or quantitative empirical research methods; ● The ability to work on real-world problems in an interdisciplinary and internationally oriented environment; ● Good communication skills and an excellent command of English. Project-specific skills: ● Experience with the main time series forecasting and causal inference techniques ● Good Python programming skills. Experience with machine learning libraries (e.g., numpy, pandas, statsmodels, PyTorch) is helpful. ● Experience with git for version control and SQL for data manipulation ● Experience in data analysis and data visualization ● Experience with classical Statistical/Machine Learning techniques like linear models, tree based models and the main neural network architectures Interested and motivated candidates are encouraged to apply, even when not yet possessing all desired skills. Through self-driven learning and doctoral training, you will be able to develop relevant skills on the job. Our offer Benefits offered as part of this position include: 1. A Living allowance, Mobility allowance of EUR 600/person month, Family allowance of EUR 660/person month. More details on the allowances can be found here. A gross annual salary of EUR 26,950. 2. Company-provided laptop, monitor, keyboard and mouse, flexible working time, work from home or office, internal and external education as per the set OKR/KPIs guided by supervisors, meal vouchers. 3. This PhD position includes two research stays at industrial partners. The first stay will be at the Bucharest University of Economic Studies, with Prof. Dr. Daniel Traian Pele. It is scheduled to start on Month 27 (March 2026) and last for 4 months, covering theoretical modeling and mathematics for deep learning. The second stay will be at the Fraunhofer Institute for Industrial Mathematics in Kaiserslautern (Germany), under the supervision of Prof. Dr. Ralf Korn. It is scheduled to start on Month 41 of the project (May 2027) and last for 4 months, during which exposure to a world-leading research centre, infrastructure and applied industry-research will be provided. Starting January 2028, the PhD candidate will spend the remaining time until their PhD graduation again at the Bucharest University of Economic Studies. Any potential change from the initial plan regarding research stays will be duly notified to candidates and reflected in the job advert description. How to apply Are you interested to be part of our team? Please submit your application, and include: ● A cover letter (maximum 2 pages A4), emphasizing your specific interest, qualifications, and motivations to apply for this position; ● A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications and references. Please ensure that your application is submitted with the required documents so we can initiate the screening process. Do not make submissions via email as they will not be considered. Additional information on the MSCA Doctoral Network can be acquired via email by the Coordinator Prof. Dr. Joerg R. Osterrieder (joerg.osterrieder@utwente.nl). from Dr. Frederik Sinan Bernard (f.s.bernard@utwente.nl).

پوزیشن دکترا ماری کوری - ایتالیا Individual Research Project - Deep Generation of Financial Time Series We are searching for a highly motivated and creative Ph.D. candidate interested in topics at the intersection of machine learning for macroeconomic forecasting and causal inference. This Ph.D. project aims to benchmark various forecasting methods and then implement a robust tool for causal modeling drawing from recent advances in both fields. During the project, you will closely collaborate with industry and a doctoral training network spread throughout Europe, including extended research stays abroad. The successful applicant will join the Data Science Team within Cardo AI in Milan, with the degree conferred in collaboration with the Bucharest University of Economic Studies. Due to the MSCA Mobility Clause, candidates cannot have resided or worked in Italy for more than 12 months in the 3 years immediately preceding the call deadline. Application deadline: October 15, 2025. https://cardoai.careers.hibob.com/jobs/8176ccc5-8b17-446c-8230-43f5f8920e48/apply Background This Ph.D. position is one of two positions at Cardo AI in the context of the international Marie Skłodowska-Curie Actions project DIGITAL. For the general description of DIGITAL and the Ph.D. positions, please check the official project webpage. DIGITAL main goal? To significantly advance the methodologies and business models for Digital Finance through the use of five interconnected research objectives: 1. Ensure sufficient data quality to contribute to the EU's efforts of building a single digital market for data 2. Address deployment issues of complex artificial intelligence models for real world financial problems 3. Validate the utility of state-of-the-art explainable artificial intelligence (XAI) algorithms to financial applications and extend existing frameworks 4. Design risk management tools concerning the applications of the Blockchain technology in Finance 5. Simulate financial markets and evaluate products with a sustainability component The outcomes from this individual research project will contribute to the expanding body of knowledge concerning the applications of cutting-edge machine learning and artificial intelligence techniques to traditional financial problems. Recent findings from the ML literature on time series forecasting will be applied in the first phase of the project. In the second phase of the project, the successful candidate will be able to conduct research in the field of causal inference in finance, which also is a very promising field of research. The challenge Macroeconomic factors such as central bank interest rates, inflation, unemployment rates, and house price indices play a crucial role in financial markets, presenting both challenges and opportunities for forecasting. This project is designed to tackle the complexity of predicting these macroeconomic indicators' future values by benchmarking a variety of methodologies spanning from classical statistical learning to modern machine learning techniques. The initial phase of the project will focus on leveraging recent advancements in machine learning literature to accurately predict these indicators, setting the stage for more informed financial analysis and decision making. The longer term objectives of this project extend beyond mere prediction, exploring future market scenarios in a counterfactual fashion and, more generally, delving into causal inference in econometrics. Your profile We look for a highly motivated, enthusiastic researcher who is driven by curiosity and has/is: General skills:

https://youtu.be/mG_rioY0Unk?si=AUHtiDfiJS_K1D37