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/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30
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biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered relevant for the research topic, or completed courses with a minimum of 240 credits
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through data-driven diagnostics. About the project Cancer treatment often involves surgery, chemotherapy, and...
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level in computational biology, physics, applied mathematics, computer science, bioinformatics, structural biology, or a related subject or completed courses with a minimum of 240 credits, at least 60 of
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equivalent, in bioinformatics, data science, computer science, computational biology, statistics, public health, biomedical engineering, applied mathematics, physics, or another quantitative field of relevance
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/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30