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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
. The department’s operating budget is 27 million a year. Position Summary The Postdoctoral Research Associate will be involved in manuscript preparation and curation of software in support of grant aims. They will
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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and production of software tools for in silico screening of chemical libraries and rational drug design of molecules for therapeutic purposes. - Contribute to the development of a high-throughput
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, Quebec, Canada, H3G 0B1 where you will have access to a desktop computer, network and statistical and image analysis software. The postdoctoral appointment will not involve any clinical service to hospital
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, layout generation, nanofabrication, laboratory characterization and application development. Experiment automation, measurement optimization, hardware and software development for collection and processing
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QUALIFICATIONS: PhD (or equivalent) in biology, applied mathematics, statistics, computer science or related field. A proven track-record of peer reviewed publications, and programming experience in Python or R
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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for the efficient training and fine-tuning of machine learning models. The postdoc will closely collaborate with researchers at the Dutch Language Institute (and Radboud University Nijmegen). Selection Criteria PhD
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit