81 programming-"the"-"DAAD"-"IMPRS-ML"-"PDI-Service"-"FEMTO-ST"-"https:" "Study Group" positions in Sweden
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Transformation and as a Transformative Power (ProTest), funded by Horizon Europe – the European Union’s key funding programme for research and innovation. The project aims to analyse the context, current state
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examination and expected examination date). • Research plan (max. 2500 words including references) describing the research you plan to conduct within the scope of the position • Contact details for 2 references
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to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven
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Diagnostics (DCD) at JU offers three different undergraduate programs: the X-ray Nurse Program, and the Biomedical Analyst with two specializations (Laboratory Medicine and Clinical Physiology). It is a dynamic
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scientific and pedagogical excellence, along with strong potential to establish an independent, high-impact research program aligned with the focus areas of Molecular Biology and the MIMS organization
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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. Project description: DDLS Fellows Program 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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requirements: Very good oral and written proficiency in English. Ability to drive and independently progress the project Strong computational skills with considerable experience with programming with python
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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and
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satisfiability (SAT) solving, Gröbner basis computations, integer linear programming, and constraint programming. This leads to classical questions in computational complexity theory—though often with new