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the research school and learn alongside each other in carefully designed courses that align with the excellence centre’s multidisciplinary theme. The program prepares next-generation computational biologists
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to effectively compile linear algebra expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in
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based on the applicant's merits and their pre-requisites to fulfil the post-graduate education. In order to be admitted to doctoral studies, the applicant must have: necessary knowledge verified by a
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presents a unique opportunity to join a cohort of other doctoral researchers in the research school and learn alongside each other in carefully designed courses that align with the excellence centre’s
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application. The names, with contact details and e-mail addresses, of at least two reference persons. The application is to be submitted on the University recruitment system no later than May 11, 2025
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framework that integrates multiscale molecular dynamics (MD), AI and machine learning (ML) approaches, that together with biophysical characterisation techniques will advance the current state of lipid
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: Master’s degree in biomedicine or biostatistics. Doctor of medicine degree with clinical practice experience. Certified training in R and Python software. Documented experience using machine learning and
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Are you interested in developing computational tools and learning strategies for understanding health and disease at the microscopic scale? Would you like to be part of a research team with skilled
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application! Your work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
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totaling 60 ECTS credits) and join an international research team with backgrounds in sociology, political science, network science, statistics, and machine learning. More information on the PhD program can