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Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided
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for ICT researchers. Technical and project management development supports will be provided through prototype development, project management, and guidance on operationalising systems. Finally, the Hub will
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and experience with in vivo imaging (2-photon, miniscope, or wide field). • Good knowledge of neural data analysis and solid programming skills (preferably in Python). • Prior knowledge
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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) Extrapolation of photospheric magnetic fields to the corona using various approaches. 2) Quantitative analysis of HXR (imaging spectroscopy from STIX and HXI) and EUV (fluxes and DEMs) sources. 3) Analysis and
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automated liquid handling systems and robotic workflows for running high-throughput experiments and processing large datasets. Desired qualifications Knowledge of various screening strategies (in vitro and in
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. The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance
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affects the performance of plasmonic structures in photovoltaics and imaging. About this position In this position you will leverage materials with high thermal conductivities (e.g. 2D materials) to achieve
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Medical center seeks applicants for a postdoctoral research position. The lab’s research program focuses on understanding the neural signaling behavioral and cognitive processes, with a long term goal of
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images, and GPS information. Postdoctoral researchers work on independent research under a faculty member’s guidance, teach 2 quarter-length courses per year, and participate in the academic life