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the Radiological Image Analysis research group, we specialize in advanced image analysis methods for research applications related to metabolic and cardiovascular disease as well as cancer. The group members have
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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Do you want to contribute to top quality medical research? Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient
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and documented background in machine learning, deep learning, data analysis and programming. Previous experience in research and knowledge in bioinformatics, biophysics, biochemistry, molecular biology
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: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division of Computational Mathematics covers many different areas in numerical analysis, symbolic computations
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on: Technical Expertise: Documented skills in Python, Matlab, R, and a strong working knowledge of UNIX environments. Proven familiarity with biological omics data analysis techniques is essential, along with any
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position is available for a motivated student with experience in biostatistics, molecular epidemiology, biomedicine and large-scale computational analysis. The position is based in the research group led by
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genomic studies and the analysis of archaic ancestry in present-day and prehistoric humans across the globe. The duties will involve large-scale analyses of genomic datasets, from present-day and
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data analysis, programming, and biology. You will be part of a collaborative research team with deep experimental and analytical expertise, with access to advanced tumor models and state-of-the-art
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, integrating microfabrication, cell component and biomaterial incorporation, staining of specific biological features, and computational modelling of intrinsic properties. The evaluation of results and further