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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international, collaborative, ambitious and innovative research
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. Collaborate with people with diabetes, diabetologists, software engineers, and clinical psychologists to develop and validate prototype tools. Contribute to qualitative and mixed-methods research to ensure user
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
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fully equipped department using high resolution live cell imaging techniques and image data analysis as well as atomic force microscopy combined with biochemical and molecular technologies. We foster
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architectures and principles from Bayesian neural networks and biological sequence models, including large DNA and protein language models. The project also aims to develop a prototype federated learning
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Studying lipid alterations of tumorous material by mass spectrometry imaging Quantification of corresponding lipids using liquid chromatography mass spectrometry Data analysis of sequencing and microscopy
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assays, flow cytometry, fluorescence imaging, RNA sequencing and biochemical techniques e.g. western blot, quantification assays). Combining diet treatments, pharmacological inhibition and genetic
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electrophysiological experiments, microsurgery, immunohistochemical staining procedures and / or confocal or STED imaging. Knowledge of image analysis as well as technical and programming skills (ideally in Matlab
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Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis of single-molecule microscopy data in collaboration with theorists from other institutions Your