138 phd-studenship-in-computer-vision-and-machine-learning PhD positions at DAAD in Germany
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defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this
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Traffic, the Chair of Transport Modelling and Simulation is seeking an excellent and highly motivated Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated
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or computer science Strong academic background in signal processing, radar imaging or remote sensing Proficiency in image processing and machine learning Interest in working with Radar instruments and data Excellent
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modern models beyond the worst case e.g. integrating machine learning into algorithm design. We are looking for candidates with a strong mathematical background, an excellent degree in mathematics
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of computational approaches to large scale simulations Basic knowledge of (geo)chemical processes and machine learning will be of advantage Expertise in Machine Learning approaches, ideally beyond neural networks
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, structural biology, biophysics, cell biology, chemical biology and synthetic biology? The International Max Planck Research School for Living Matter: from molecules to dynamics (IMPRS-LM) is a joint PhD
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Description We are seeking to fill a doctoral researcher position as part of the newly funded research project "Physical Limnology of Ponds". The project seeks to advance the mechanistic understanding of physical processes in pond ecosystems by analyzing the spatial and temporal dynamics of...
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“PhytoM - Leibniz Professorship for Phytonutrient Management” at the Technische Universität Berlin”: PhD student (f,m,div) in the field of food chemistry Reference number: 09/2025/3 The salary will be based
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, the Institute of Mathematical Stochastics offers a position as Research Associate / PhD Student (m/f/x
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trained immunity is not as specific or long-lasting as adaptive immune memory it still provides a faster, more robust reaction upon re-exposure in a non-antigen specific context. In this PhD project we aim