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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a Postdoc exploring pathways to a circular carbon economy, with a focus on plastics
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and book their families’ visits to the Center, conduct testing and scanning over a 3-day visit, and then analyze the behavioral and brain imaging data. This process includes searching, reading, and
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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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functional imaging of the nervous system. The postdoc researcher will be advised by Prof. Chamanzar and will work with a large interdisciplinary team of engineers, scientists and physicians to demonstrate and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 8 hours ago
- $ 64,000 commensurate with experience Minimum Experience/Education A Ph.D. or equivalent degree in the last five years. (Note this position is for 2 postdocs) Departmental Preferred Experience, Skills
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epidemiology and the social sciences. We are world leaders in lifespan brain imaging and in relating differences in brain structure and function to social and cognitive development. We also study the genetics
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in statistical learning, computer vision, big data systems, NLP, or data visualization. Hands-on experience processing in vivo fluorescence imaging data: z-score normalization, PETH construction
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 22 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Seol How to Apply A complete application consists of: An application, including academic history, work
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in statistical learning, computer vision, big data systems, NLP, or data visualization. Hands-on experience processing in vivo fluorescence imaging data: z-score normalization, PETH construction
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, neuroscience, brain imaging), the NGI (exceptional expertise on genetics and multi-omics data generation & processing), and the highly collaborative atmosphere at WashU. The candidate is expected to lead