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expect a successful candidate to have a PhD degree from a relevant field with skills and experience in computational genomics and machine learning. Familiarity with the above-mentioned data types is an
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candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods
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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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-scale computational approaches (molecular dynamics simulations, quantum chemistry, machine learning, etc) are applied to study the mechanistic aspects of biomolecules in great depth. The work is done in
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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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, especially expertise in computer vision and deep learning is highly appreciated. The research focus is expected to enhance the development of integrative and interdisciplinary intelligent methods in