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Field
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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queries regarding the field of activity, please contact PD Dr. Heidi Kreibich via email. If you have any general questions about the application process, please contact our recruiting team at our phone
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solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire
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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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the life sciences, chemistry, medicine, pharmaceutical sciences or a related discipline. Applications must be submitted in English preferably by email as one single PDF file to med-rnamed@uni-wuerzburg.de
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. Tim de Laat, email: delaat@math.uni-kiel.de Additional comments Kiel University views itself as a modern and cosmopolitan employer. We welcome your application regardless of your age, gender, cultural
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Please always submit your application online and not via email. Fraunhofer Institute for Algorithms and Scientific Computing SCAI www.scai.fraunhofer.de Requisition Number: 83001
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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Identifying the impact of environmental conditions such as temperature and ionic concentration Based on the delocalized electron system, the aromatic molecules and their properties will be analyzed using