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Eligibility criteria *The candidate will be entrusted with key responsibilities: The Postdoc will apply data-driven techniques like autoencoders to extract coherent structures from DNS data. Symbolic regression
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of Entomology, Biology Centre, Czech Academy of Sciences, Ceske Budejovice, Czech Republic, under the supervision of Dr Jan Hrcek. The laboratory is a multinational team of postdocs, PhD students and technicians
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well as collaborative research in the field of medical imaging. Specific research foci include the development of ultrahigh field MRI methods in terms of both acquisition parameters and processing, including software
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, proteomics and advanced imaging. This research project will be executed in close collaboration with the Princess Máxima Center. Radboudumc Welcome to Radboud university medical center (Radboudumc), where
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-ERIC project “LEMIS” (Analysis and imaging of Light Elements in Materials of Importance to energy Storage using ion beams). The position will remain open until filled. The position is available
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geothermal heat, CO2 and hydrogen. Repeated fluid pumping could lead to clogging of fluid pathways. Are you ready to dive into the how, using cutting-edge imaging techniques? Then the Department of Earth
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board! RESPONSIBILITIES: Opportunity to contribute to ongoing research on mechanical signaling in healthy and diseased heart muscle cells Use of state-of-the-art molecular, biophysical, and imaging
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will collaborate within a motivated, multidisciplinary team of PhD students and postdocs with expertise in biology bioinformatics, AI, genetics, neuroimaging, computational neuroscience, psychology, and
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on the development of advanced nanometrology techniques, including scanning probe microscopy such as atomic force microscopy, integrated with supramolecular chemistry. These approaches enable high-resolution imaging
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strategy, the processing of sensor data (laserscans, images, pressure, etc.), as well as the reactive control of robotic arms. In order to apply for this position, the candidate should possess in-depth