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candidate will join the Scientific Machine Learning group at TDB and SciLifeLab. The group develops theory, methods and software for data-driven science, with a current focus on uncertainty quantification
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Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining
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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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, and support research project execution and reporting. Job Requirements: A completed PhD in Electrical Engineering, Computer Engineering, Computer Science, or a closely related discipline. Strong
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qualifications and experience. To apply visit https://academicjobsonline.org/ajo/jobs/32755 and submit a cover letter, full CV, and contact information of three professional references. Applications will be
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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of assessing how PVD functionalization influences battery performance, including: capacity; charge/discharge behaviour; rate capability; ionic and electronic transport; polarization and overpotential; energy
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Position Information Posting Number F00785P Position Title Postdoctoral Research Associate Department Electrical Engineering Location Arlington Job Family Faculty Position Status Full-time Rank Post