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applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at
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) Computer Science/ Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Additional
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in biomedicine or biology may also be accepted if supplemented with advanced courses in bioinformatics, biostatistics, or computer science. Likewise, a degree in computer science or biostatistics may
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, probability theory, etc) A competence in quantitative topics equivalent to a mathematics, statistics, physics, computer science, or engineering degree is required (if your degree was not in one of these domains
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at a maximum level of 20 %. Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree in Machine learning, Computer science, Bioinformatics
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are looking for a highly motivated, independent, and analytical person, with: A degree or the equivalent in scientific data analysis, data science and machine learning, computer science, bioinformatics
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bioinformatics, engineering physics, molecular biology, computer science, or a related field. You should have strong programming skills (e.g., in Python or R) and a keen interest in applying data-driven methods