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. The goal of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under
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for low-frequency railway vibrations—bridging experiments, modelling, and sustainable railway innovation. Interested? Job description TU Delft, in collaboration with ProRail and Cohere Consultants, invites
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will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models for phenotype prediction, helping to accelerate the cell
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assays, bioinformatics tools, or structural models to refine hypotheses. Our offer a one-year appointment, with a possible extension of 18 months following a positive evaluation (total duration: 30 months
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cell lines have been engineered and characterised, you will image them using a variety of microscopy methods, and collaborate with a team of computer vision scientists to build ML-based models
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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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methods, integrating qualitative approaches (e.g., interviews, walk-alongs, focus groups) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd
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) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd behaviour analysis), as well as researching existing sources of knowledge in the literature and
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subpopulations, as well as (plastic) cancer cell states that contribute to tumor progression, metastasis and therapy resistance. The candidate will lead several projects applying machine learning to (single-cell
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develop and compare ex vivo model systems derived directly from patient tumor tissue and blood. These models will be evaluated in parallel with an upcoming clinical trial at our department testing