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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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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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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science The project focuses on advancing species
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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
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biophysics research. The shared resources, including cutting-edge cell biology laboratories, advanced microscopy facilities, and a robust computational infrastructure, form an exceptional ecosystem that not
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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the
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academic leaders within SciLifeLab and Wallenberg’s national program for data-driven life science (DDLS fellows) and the fellow programs at the Wallenberg Centers for Molecular Medicine (WCMM fellows
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science, computer science, bioinformatics, or a related subject relevant to the position or documented experience that can be deemed equivalent. Experience of development in Linux-based environments
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to diversity of human traits and diseases. We use both computational and experimental approaches across the disciplines of human genetics, functional genomics and molecular biology. What we offer A position at a
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an international environment and is focused on animal biology. Outstanding and high impact research is conducted in broad fields, from genomics to ecosystems, nerve cells to behavior and evolution to conservation