16 engineering-image-processing-phd Postdoctoral positions at SUNY University at Buffalo
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orientation, gender identity, national origin and veteran or disability status. Minimum Qualifications PhD in biomedical engineering and related areas. Preferred Qualifications PhD in biomedical engineering and
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Posting Details Position Information Fiscal Year 2025-2026 Position Title Postdoctoral Associate, Chemical & Biological Engineering Classification Title Postdoctoral Associate Department Department
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Posting Details Position Information Fiscal Year 2024-2025 Position Title Postdoctoral Associate, School of Engineering and Applied Sciences Classification Title Postdoctoral Associate Department
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schooling behavior of relatively small fish as they navigate complex turbulent flow fields. Using novel analytical techniques for data processing, using numerical models of varying complexity to expand
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, the candidate will work on plasma and electrochemical system engineering and design, catalytic materials synthesis and characterization, as well as system scale-up and integration. The ideal candidate should have
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, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status. Minimum Qualifications PhD in either Philosophy, Politics, Economics or related discipline expected
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necroptotic cell death and its inflammatory consequences, using state-of-the-art approaches in lipidomics, chemical biology, and advanced imaging. The postdoctoral researcher will collaborate closely with
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degradation in the progression of cystic fibrosis lung disease. This translational effort will leverage cutting-edge stable isotope probing and proteomic technologies, genomics and microbiome analysis, imaging
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state-of-the-art imaging to study chromatin architecture at super resolution. See more research details at our lab website . Learn more: Our benefits , where we prioritize your well-being and success
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. Candidates with expertise in climate science, hydrology, earth and planetary science, and physically-based or machine-learning/AI-based climate modeling (e.g. hydrometeorological and/or atmospheric processes