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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Transformers are central to many of today’s most successful AI models, from language understanding to computer vision. Yet, their success remains largely empirical, with limited theoretical understanding
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Globalization, Migration and Urbanization; Quantitative/Empirical Methods and Data Science Welfare: Education, Health Care and Pensions The Department of Economics has a strong research focus and has been
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space
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science or a related subject. Applicants must complete and submit an online admissions application, via the admissions portal by midnight (23:59 GMT), 18 May 2025. On the ‘Choosing a programme’ page, please
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six office staff. In addition, 50 – 60 pro tempore professors, 60 – 70 Graduate Employees/Research Fellows, and 8 – 10 student assistants are hired per year. Architecture The Architecture Department
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) tailored to the structure and properties of NMR spectral data Supporting the development and application of a self-supervised learning framework for pretraining the foundation model Assisting in the large
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influence its development directly. We are currently evolving our mechanical engineering degree program and constructing labs to support both educational activities and research. Workplace description
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- computational geodynamics) Professor Wim van Westrenen (w.van.westrenen@vu.nl - planetary science) For informal information about this position, please contact Professor Douwe van Hinsbergen external link
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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge
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students are supervised by a supervisory panel consisting of a panel chair, a professor from the natural sciences and a professor from information/computer/mathematical science. The DASHH graduate curriculum