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Field
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Nottingham Breast Cancer Centre PhD Studentship About the Project This is a fully-funded PhD studentship in the Nottingham Breast Cancer Research Centre at the University of Nottingham. Breast
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). To make sense of the wealth of information in these large data sets, we will deploy advanced cancer genomics workflows in the secure and scalable UZ Leuven Genomics Core cloud and report insights
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Development of a Low-Voltage Multi-Beam SEM for High-Throughput Imaging | TU Delft Job description Scanning Electron Microscopy (SEM) plays a central role in today’s nanoscale imaging across both science and
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PhD Development of a Low-Voltage Multi-Beam SEM for High-Throughput Imaging | TU Delft Job description Scanning Electron Microscopy (SEM) plays a central role in today’s nanoscale imaging across
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trainings. We also operate the GESIS Secure Data Center, our Trusted Research Environment responsible for providing access to sensitive research data in the social sciences. The Secure Data Center is leading
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are a multi-disciplinary team at the forefront of methodological innovation and policy and practice change. The Centre encompasses: 1) A Technology Appraisal Review team 2) an Evidence Synthesis Group 3
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 9 days ago
learn (hands on skills) Advanced ML research skills: multimodal representation learning, foundation model design, explainability and domain adaptation. Handling and analyzing large, multi-site medical
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description: The focus of the RTG is on the development, characterization and modelling of novel, multi-phase composite systems capable of withstanding temperatures substantially beyond 1300 °C and harsh
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position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description: GFZ is Germany's national centre for solid Earth research. We advance the understanding
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trials on clinical practice in the UK. The successful applicant will be supervised by academics from the Centre for Evidence and Implementation Science (CEIS), University of Birmingham (Professor Amy Grove