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Supervisor: Dr Tim Halim Course start date: 1st October 2027 Project details For further information about the research group, please visit our website at https://www.cruk.cam.ac.uk/research-groups
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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methods). Responsibilities Perform the majority of bioinformatics analyses using analytical pipelines and procedures developed by dr Michał Gdula; Further develop analytical methodologies and adapt them
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field, including environmental sciences and sustainability and scientific data analysis (30%); b) Demonstrated experience in developing computational tools, data pipelines and/or AI systems applied
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intelligence extraction workflows. The Tilburg PhD researcher will develop a methodological pipeline for analysing high-resolution microscopy data of integrated circuits, integrating computer vision, deep
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interactions with planets and their magnetospheres, and the broader topic of Space Weather. Today, most research in HP is data-driven, with data processing pipelines that produce time series, images, spectra
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University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging | Oettingen in Bayern, Bayern | Germany | 2 months ago
fluorescence microscopy, image analysis pipelines and modelling. The project particularly requires enthusiasm for translational sciences, fluorescence microscopy, and computational analysis. Your role: Sample
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Job related to staff position within a Research Infrastructure? No Offer Description Neural reconstruction pipelines (e.g. Gaussian Splatting) and 3D sensing technologies such as LiDAR and
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. The research will assess novel liquid biopsy tests for the early detection of cancer in people with Lynch syndrome, working within the Predi-Lynch collaboration (https://predi-lynch.eu/). Predi-Lynch is funded
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for biomedical research Electronic Health Record (EHR) analytics and clinical data integration Biomedical image analysis and quantitative microscopy High-performance computing (HPC) and scalable AI pipelines