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substantially equivalent knowledge in some other way. For this position, the applicant must hold a master’s degree in molecular biotechnology, bioinformatics, computer science, or another area that the employer
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. The PhD position is within the Data-driven life science (DDLS) Research School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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relevant fields of biology (e.g., systems, evolutionary, developmental, computational), physics, mathematics or related fields. In the appointment process, special attention will be given to research skills
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• Computational Science or Data Science • Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics
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in computer science, engineering, data sciences, applied mathematics, machine learning, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at
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, molecular systems biology, and structural biology. The scientific foundation of what we do lies in biology, but our research overlaps with other fields such as medicine, computer science, mathematics
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science. We are looking for a candidate with a PhD in either engineering/computer science/physics/mathematics. Experience with ML implementation (ideally interpretable ML and/or generative AI) is required
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at developing and applying computational tools to understand the evolution of biodiversity (see https://islandevolution.github.io/ ). As a postdoc in this project, you will work with mathematical modelling
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precision medicine. We are situated at the Science for Life Laboratory (SciLifeLab) and this position is part of the Data Driven Life Science program (DDLS). Assistant professor Avlant Nilsson will be