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Field
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graduate students, as well as recent graduates, from Minority Serving Institutions (MSIs) pursuing degrees in science, engineering, technology, mathematics, and other disciplines that that align with NNSA's
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approaches to electrolyte systems Requirements: Candidates must have a Ph.D. in Physics, Chemistry, Applied Mathematics, or related fields. Desirable: - English language fluent, spoken and written - excellent
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under the supervision of faculty on infectious disease-related epidemiological, statistical, and mathematical modeling research projects that will lead to the submission of grant proposals and publication
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mathematics, bioengineering, chemistry, chemical engineering, or a related field of experience. Excellent verbal and written communications skills, as well as oral presentation skills. Organization and time
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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: (1) Have obtained or about to obtain a Ph.D. degree in Mathematics or Applied Mathematics. Ph.D. candidates in the field of theoretical science are also eligible to apply, but a solid foundation in
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science
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on the application under CV/Resume or upon answering the questionnaire you may attach the documents. Qualifications Required Education Ph.D. in Mechanical/Civil Engineering, Applied Mathematics, Theoretical Physics
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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About us The Department of Chemistry is a dynamic and collaborative environment within the Faculty of Natural, Mathematical and Engineering Sciences, dedicated to cutting-edge research and academic