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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
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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 technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the area of science & technology as well as service & transfer of crystalline materials. Our goal is to enable
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The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the area of science & technology as well as service & transfer of crystalline materials. Our goal is to enable
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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physics, engineering, environmental sciences, or a relateddiscipline, is required. Basic knowledge and initial experience with experimental working methods (e.g.spectroscopy, laser physics) Fundamental
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Policies”, led by Prof. Dr. Jan Steckel who is also Professor at TU Munich’s School of Social Sciences and Technology. The position is embedded in the research project “EVIDENCE – Evidence based research
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are first to be developed and established. Your Profile You ideally bring the following with you: Excellent master's degree in food chemistry, food technology, biochemistry, biophysics or similar High level
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: A master's degree in physics, engineering, environmental sciences, or a related discipline, is required. Basic knowledge and initial experience with experimental working methods (e.g. spectroscopy