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and associate the findings to clinical data using machine learning. The postdoctoral fellow will perform studies on the metabolism of healthy intestinal cells and tumour initiating cells using state
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of hydrogen-induced embrittlement in high-strength steels. Different modelling (phase field modelling/artificial intelligence and machine learning approach) and experimental techniques could be utilized to get
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. The positions focus on computational microbiome research. The applicants are expected to support the research group’s activities, develop and apply statistical, data science, and machine learning methods in
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engineering Potential doctoral supervisors (PhD advisors) are Prof. Jaakko Järvi , Prof. Ville Leppänen and Ass. Prof. Tuomas Mäkilä . You can learn more about our Software Engineering research group here
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(Helsinki Institute of Life Science, University of Helsinki) is looking for a postdoctoral researcher with background in neural network models . Our group develops computational models, machine learning and
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group. Other responsibilities include mentoring and supervising PhD students as well as taking part in scientific collaborations. You may also have the possibility to participate in teaching activities in