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relative to one another. Regarding scientific expertise The following qualifications will be assessed: Required: Experience and scientific achievements in AI applications involving large-scale medical data
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. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML
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and staff administrative skills In the case of otherwise similar qualifications, the following criteria will be used to distinguish between candidates: teaching experience within the subject area of
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to work in a team Strong publication record or other evidence of scientific ability and maturity Excellent communication skills in English Experience in tackling complex scientific problems or method
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mathematical skills in large-scale datasets • Research experience in cancer epidemiology or molecular epidemiology • Ability to work independently, be self-motivated, initiative, creativity and collaborative
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biological datasets. Experience with proteomics, mass spectrometry, protein structure analysis, molecular dynamics, deep learning, or bioinformatics is advantageous but not required. Experience with data
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and administrative duties that require good command of Swedish. We offer With us, you will experience the dynamic interaction between higher education and research that makes Stockholm University