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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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imaging and spatial omics instruments. Work closely with users to understand image/data acquisition pipelines and inform computational processing accordingly. Support users in experimental design
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responsible for the design and testing of original machine-learning based methods for fetal heart biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed
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imaging methodologies, biological sample preparation, vacuum technology, laser operation and optics, and electrical and mechanical engineering. Furthermore, you are expected to present your work in
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Description About the position We are looking for a motivated PhD candidate to join a multidisciplinary research team working on predictive modeling of clinical outcomes after Deep Brain Stimulation (DBS) in
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the Leverhulme Trust, aims to develop a new paradigm in organic synthesis based on frustrated radical pairs (FRPs), combining the concepts of frustrated Lewis pairs with controlled open-shell reactivity to access
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at the Max-Planck-Institut für Kohlenforschung in Mülheim/Ruhr Project 3: “Atomistic Investigation of Chemomechanical Processes in the Fe–O System” under the supervision of Prof. Bitzek, Microstructure and
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Essential: Proficiency in fluorescence microscopy techniques (confocal, wide-field, live-cell); experience with microscopy-microfluidic systems or single-cell analysis; strong background in image analysis
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, multi‑dimensional imaging data and enable richer exploration of historical paintings in collaboration with the Van Gogh Museum. Information Paintings are examined to understand artistic processes, support
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to develop a hyperspectral DUV imaging system for applications in microscopy in the context of chiral light-matter interactions at the nanoscale as part of our team at the VU Amsterdam (matzlab.com