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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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and quantify water mass transformation (WMT) processes in the Skagerrak, connecting the North Sea and the Baltic Sea. The Consortium members study these WMT processes by developing and applying WMT
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 22 hours ago
Regional Development (IOER) and Dresden University of Technology (TUD). DLGS offers an interdisciplinary, three-year doctoral programme . Fellows are admitted in a competitive process with independently
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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) family service Application process Does this position appeal to you? The please apply by 10.06.2025 via our online[jsp?id=003702en&dbv3_man=allgemein-Datei] - system[jsp?id=003702en&dbv3_man=allgemein
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training opportunities for professional and personal development VBL company pension / Capital accumulation benefits Employee welfare (AWO) family service Application process Does this position appeal to you
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protein denaturation processes. Details on the Projects and the PROTEMIC network can be found at: https://www.protemic.eu What you bring to the table solid background in physics and / or photonics keen
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, computational model development, data processing, and code implementation in close cooperation with scientists. The position is limited to 3 years. Equal opportunity is an important part of our personnel policy
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Research Foundation (DFG) is funding the project. In the course of the application procedure, which takes place both at the GRK 2767 of the TU Dresden and at the HZDR, the documents received by the HZDR will
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and their combination with observational data to improve the interpretation of cloud processes Coupling of cloud simulation data with detailed radiation calculation Evaluation of simulated 3D cloud