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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
scientists to conduct research on the microbial fitness, physiology, and metabolism in advanced microbial electrosynthesis reactors as well as on the performance of phylogenetically diverse methanogenic and
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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evaluations of AI systems across diverse cultural contexts Collaborate with computer scientists and anthropologists to develop new methods for pluralistic alignment Publish high-impact research in top venues in
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working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both academic and industrial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
performance computing environments. Understanding of satellite radar interferometry. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the above mentioned fields. What we offer State of the art on-site high performance/GPU compute facilities
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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, viral tools, advanced bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials