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. Additionally, the scientist will actively promote the dissemination of research findings to relevant user groups. Qualification The prerequisites for a successful application are a PhD in biological oceanography
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Heidelberg University and Stanford University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data
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at Heidelberg University and Stanford University. The group works on a wide variety of research, with foci being medication effectiveness, health services research, and population health issues. One key data
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the structure of energy materials on the atomic, molecular and
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within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
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marine realms. For this, a suite of thematic VREs will be developed that allow an easy-to-use application of models on available and harmonized biodiversity and environmental data. Both projects provide
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state. The project will specifically investigate the role of endogenous retroelements in this context. Immune-functional consequences will be studied using in vivo mouse models, and in cell culture
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 10 days ago
essential for the candidate to have (or close to complete) a PhD / Dr. rer. nat. / DPhil in related field of science. The candidate will have a proven ability to deliver high quality novel research
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state. The project will specifically investigate the role of endogenous retroelements in this context. Immune-functional consequences will be studied using in vivo mouse models, and in cell culture
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detail: Development of APIs for electrolysis systems and analysis devices Implementation of autonomous process control Conceptualization and implementation of degradation models for electrolysis Studying