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required Experience analyzing wearable device data including accelerometer and GPS data, as well as experience with spatial data analysis Demonstrated publication record in high quality peer-reviewed
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Management:Assist in managing research projects, including drafting funding proposals, coordinating with partners, and monitoring budgets. Required Qualifications : PhD: A PhD in digital public health, urban health
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encourage all qualified candidates, regardless of background, to apply! Job description The candidate will work on large-scale data analysis of cancer transcriptomics data (bulk, single cell and spatial), and
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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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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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: 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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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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-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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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