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related field. Experience in bulk/single-cell multi-omics data analysis and/or drug screen data processing. Experience in R or Python programming. Strong interest in translational cancer research and
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contributing to building an ambitious programme from the ground up. Job-ID: V000015284 Field of application: Zentrum für Infektiologie Location: Heidelberg Job Category: Science and teaching Working hours: full
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experimentation using disease models What we offer A structured PhD training program with close supervision Opportunities for independent and collaborative research Targeted training in state-of-the-art
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participation in interdisciplinary research networks and the acquisition of competitive third-party funding are expected. In teaching, the professorship is involved in the MaReCuM model degree program
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knowledge of at least one programming language relevant to scientific computing, i. e. C++, C, Fortran, Python, R Excellent communication skills Good working knowledge of software development best practices
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The DFG-funded Research Training Group “Mixed Ionic-Electronic Transport: From Fundamentals to Applications” ( www.grk2948.uni-heidelberg.de ) is an interdisciplinary structured doctoral program at
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approaches Experience in teaching and development of teaching programs can be of advantage Working effectively both in an independent manner and as part of a diverse, collaborative team High level of
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-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong programming skills (e.g
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engineering, physics, health economics, or related quantitative field Strong quantitative and programming skills (e.g. R, NetLogo, or similar) Experience in infectious disease modelling and/or model-based
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, which houses the Master of Athletic Training program, the Exercise Science and Health Science majors, as well as the Exercise Science Laboratory. Supervision Exercised: May supervise student research