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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer
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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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research outputs, including peer-reviewed publications and presentations to academic and government stakeholders develop a coherent research program and an emerging research profile support and supervise
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aim of this programme is to facilitate and strengthen collaboration with academic researchers in scientific fields that are priorities for France and Canada, as defined at the first Joint Committee
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delivers a co-produced programme of research that serves two key purposes. It provides an evidence foundation to advance the institution's civic mission while creating meaningful impact where it's needed
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-based computed tomography, with numerical simulations informed by microstructural data. The successful candidate will work at the interface between experiments, modelling, and data-driven methods
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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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will be contingent upon demonstrated research productivity and availability of funds up to a period of four years. Required Department Minimum Qualifications: Ph.D. in computer science, geospatial
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 6 days ago
methods for the generic drug research program and conducts regulatory science and research activities based on quantitative approaches. Some of the responsibilities residing in DQMM include providing
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated