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for admission to the faculty's Doctoral Programme Good oral and written presentation skills in English -------------------------------------------- PLEASE NOTE: For detailed information about what the application
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of Technology offers strong support through a qualified supervisory team and a structured doctoral education program leading to a PhD in Geotechnical Engineering. Active participation in the international
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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
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Science, e.g., Molecular Biology. Expertise in functional genomics approaches and computational data analysis. Expertise and interest in gene-regulatory mechanisms. Motivation and strong analytical and
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to optimally prepare it for use in AI-driven systems and solutions. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300
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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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chemistry. Good laboratory skills. Good computer skills / data processing skills. Good communications skills. Good written and oral English language skills. Experience in single molecule analysis, work with
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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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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