18 phd-in-image-processing-"Multiple"-"Humboldt-Stiftung-Foundation" positions in Germany
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collaboration with life scientists. Your Role: Lead the integration of multiple automated subsystems, including liquid handlers, robotic arms, and imaging modules, into a functional robotic platform, with
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institution. At the Faculty of Biology the Chair of Zoology and Animal Physiology (Prof. Dr. Schirmeier) offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification
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. At the Faculty of Biology the Chair of Zoology and Animal Physiology (Prof. Dr. Schirmeier) offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees
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domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating
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architecture exploration, hardware/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing, artificial intelligence and machine learning. Tasks: research
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, as part of the development, one position located in Görlitz as Research Associate / PhD student (f/m/x) Integration of CMOS detector technology into the Universal Bayesian Imaging Kit (UBIK) (subject
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knowledge-driven reconstruction of floor plans using multiple image data sources” Research and development into knowledge-driven systems and their integration into generative AI Providing scientific
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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discovery and chemical ecology. We also envisage to perform complementary spatial metabolomics using the in-house Desorption Electrospray Ionization-Imaging Mass Spectrometer (DESI-IMS). The candidate will
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical