51 scholarship-phd-agent-based-modelling Postdoctoral positions at Technical University of Munich in Germany
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
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University of Munich in Germany is looking for a Postdoc/PhD in single-cell Bioinformatics Single-cell technologies have recently gained popularity tremendous popularity with a big impact on understanding
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University Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and
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(songbird) variables, and human restoration variables. We aim to produce maps of model predictions based on biodiversity indices, restoration variables in relation to urban green and built infrastructure. Job
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30.09.2019, Wissenschaftliches Personal The Chair of Robotics Science and Systems Intelligence (RSI) at the Technical University of Munich is looking for outstanding PhD/Postdoc applicants. About us
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' prognosis or treatment decisions. For modeling, we use both public and proprietary clinical and research data greatly enriched by our own repository of digital pathology images. A further focus lies on
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development strategies based on your own background and expertise. You will also be responsible for serving as a teaching assistant for our courses in neuroengineering materials, biomaterials, and probability
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, depending on the geographical and economic context. It will include a deep dive on the potential of Ukraine to become a green hydrogen hub, leveraging geo-spatial energy models run by project partners. As
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CW and femtosecond optical spectroscopy methods. Preference will be given to candidates who already have some postdoctoral experience, but applications from recently graduated PhDs with an excellent
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. The aim of our group is to improve the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level