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- Employees are offered the opportunity to participate in physical exercise during working hours, as part of the company’s commitment to promoting health and well-being. How to applyWe ask interested candidates
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with high-quality labeling and outcome data . 2) Training and validation of state-of-the-art segmentation models for multiscale tasks, with targets including organ lacerations, cavitary pooled
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Subject description This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address
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lattice field theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging
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closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep
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-cell interaction proteomics by proximity labeling, subcellular localization by spatial proteomics and fluorescence microscopy, and protein structure prediction by artificial intelligence and crosslinking
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laboratory at the School of Cardiovascular and Metabolic Medicine & Sciences at King's College London. The postholder will be part of a vibrant multi-disciplinary research group operating across different
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microbiomes. Within this focus, the research group has a strong program in the synthesis and application of chemical probes in complex biological systems and measurements of probe labeling by LC-MS based
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physics knowledge into DL model design and training, these models outperform traditional methods even without labeled training data (https://www.nature.com/articles/s41524-022-00803-w ). Application spaces
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, (radio)biologists, preclinical molecular imaging scientists. Particular expertise is required in synthetic chemistry to design novel target structures suitable for labelling procedures. The post holder