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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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conservation of marine and coastal ecosystems. The successful candidate will also require strong technical skills in terms of statistical and spatial analyses, and the ability to coordinate and manage large
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access to a wide range of spatial and temporal biodiversity and environmental data and a fantastic opportunity to become part of European networks of established researchers, postdocs, and graduate
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for publication in areas relevant to the department’s disciplinary and scholarly foci. The successful candidate should possess a PhD in Education Policy Studies and Leadership. The candidate must have demonstrated
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD or foreign equivalent degree in hand by August 2025. Preferred Qualification: PhD or MD in Biomedical
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD or foreign equivalent degree in hand by August 2025. Preferred Qualification: PhD or MD in Biomedical
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-new lab that previously made important contributions to the development of novel predictive computational tools in single cell and spatial transcriptomics. Representative publications include
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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of the rich and varied training and career development opportunities offered at HSPH. Basic Qualifications · PhD or equivalent in computational biology, computer science, epidemiology, statistics, mathematics
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on developing machine-learning-based or statistical emulators to approximate key outputs of complex Earth System Models, with the aim of enabling efficient uncertainty quantification, sensitivity analysis, and