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Researcher to join the Machine Learning in Biomedicine group, in collaboration with the Precision Cancer Epigenomics group at NCMM, through the NORPOD program. Summary of the project Human tumors
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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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: By including machine learning methods for interpreting human emotions, intentions, preferences, and decision-making, it analyses facial expressions, body behaviors, and physiological signals Endowing
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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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to develop solution algorithms for these problems that are based on machine learning. The project will study inverse problems for linear and non-linear hyperbolic and elliptic PDEs by applying analysis
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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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expertise in the use of relevant methods, such as signal processing, kinematic analysis and/or machine learning. The other selected postdoctoral researcher will carry out research on young people’s emotional
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). Programming skills with Matlab, C/C++ or Python. Experience of machine learning and artificial intelligence applied to imaging applications. A good publication track record. Experience in supervising
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22 Mar 2024 Job Information Organisation/Company University of Turku Research Field Computer science » Computer architecture Computer science » Programming Computer science » Other Researcher