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Field
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engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at the Division of Chemical Biology, Department of Life Sciences, and help advance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
models (LLMs), Computer Vision and and Deep Learning architectures (CNNs, RNNs, etc). * Strong foundational knowledge in machine learning and data science methodologies. * Proficiency in programming, with
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data
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program and membership in MultiSport program. Support from the IBB Welcome Center with moving to a new place (https://welcome.ibb.edu.pl/ ). Delicious coffee and fruity Wednesdays. Selection process
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of high-quality publications in top multidisciplinary science and policy venues. Test this prototype tool on repetitive-flood locations along the lower Missouri River. Lead a team of student research
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hours per week. Salary: Highly competitive, commensurate with experience and qualifications. Work in general science laboratories. Start date: as soon as possible after the selection process is completed
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of the Faculty of Science at the University of Antwerp are seeking post-doctoral candidates willing to write research proposals on the functional morphology of organisms via dynamic X-ray imaging. Position X-ray
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this activity to be carried out remotely, with simultaneous direct transmission of image and sound. Additional comments Additional Information The competition follows the National Science Centre (NCN) regulations
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candidates who have defended a thesis related to political social sciences. Required skills: - Quality of the scientific record and relevance of the thesis work to the FOCALE program - Methodological agility