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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 11 days ago
, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans and animals shape and behavior. In the Eye
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under multiple environmental and socio-economic scenarios. You’ll develop sought-after skills in geospatial analysis, hydrodynamics, sediment transport, machine learning-assisted detection, and hydro
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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current and future disease risk and burden across multiple pathogens with environment- and climate-sensitivity. Your tasks: Building a diverse set of models for short-term predictions and the long-term
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The Faculteit Geneeskunde en Farmacie, Department Observerende Klinische wetenschappen, Research Group Electronics and Informatics: Research – Development - Innovation is looking for a PhD-student
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SD-26006 PHD STUDENT IN METAL DECORATED METAL OXIDE NANOSTRUCTURES FOR ENHANCED PLASMONIC LIGHT H...
metal oxide nanostructures — materials that combine metal nanoparticles (Au) with semiconducting oxides (ZnO, CuO) to boost optical absorption and opto-electronic performance. The project is part of a
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operation, is not considered in the CMF model due to the challenge to solve the multiple partial differential equations simultaneously. With the support of the combined sponsorship from the university and
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current and future disease risk and burden across multiple pathogens with environment- and climate-sensitivity. Your Tasks: Building a diverse set of models for short-term predictions and the long-term
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at Science Park we offer you multiple fringe benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January; Multiple courses to follow from our Teaching and
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,(email: hans.ole.orka@nmbu.no ). Information to applicants Application Send application electronically via the link "Apply for this job" at the top of this page. This will route you to the University's Web