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: https://orise.orau.gov/usda-ars/ Research Project: Research will focus on the swine bacterial pathogens Streptococcus suis and Glaesserella parasuis, both of which are major contributors to high-priority
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, or computational, depending on the project associated with the fellowship to which they are applying. Prior knowledge and participation in research activities relevant to the selected project's research topic and
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education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information
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. Candidate eligibility requirements: Candidates must hold, at the time of application, a bachelor degree Electronics and Computer Engineering or related areas. Candidates must also have knowledge of: i. System
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of future reactor systems with a focus on systems relevant for Norway. The objective is to further develop and validate machine-learning surrogate models derived from high-fidelity multiphysics simulations
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clinicians transitioning from a different specialty. Recognizing that ACNPs and PAs are increasingly utilized in all phases of healthcare, our program’s mission is to provide the knowledge, skills and
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model, exercising independent judgment on program design questions within the framework established with the Faculty Director and Associate Dean. Manages a multi-directional stakeholder ecosystem
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predictive modeling and validation techniques. Research & Publication: Skilled at critically reviewing literature, designing rigorous studies, and producing publications for high-impact journals. Collaboration
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., psychology, cognitive science). Strong written and spoken English. Demonstrated experience in experimental and/or quantitative approaches to language processing and/or language variation, evidenced by peer
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themes: (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating