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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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methods based on optimal transport for addressing problems in signal processing, control theory, and inverse problems. The doctoral student project and the duties of the doctoral student By developing novel
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, computer engineering, human-computer interaction, or equivalent by 2025-07. Demonstrate proficiency in English (reading, writing, speaking). Show the ability to work independently as well as in a team. Good
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. Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than August 10th 2025. Applications and documents received after
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. The data-driven life science initiative Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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team of researchers in an European project. As a main topic, you will perform your research in one of these areas: -Data model translation, to enable the automatization of the engineering process
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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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, for example the GENIE Initiative on gender equality for excellence . Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be marked with
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of completed academic courses and grades • Copies of published own research (if any) The application must be complete in order for it to be considered in the recruitment process. The application must be made via
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. Documents should be sent electronically, in MS Word or PDF format, through the recruitment system Varbi. The procedure for recruitment for the position is in accordance with the Higher Education Ordinance