2,698 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions in United States
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an outstanding postdoctoral researcher to advance data-driven, physics-informed AI for microelectronics materials
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microwave resonator design, characterization, and RF/microwave measurement techniques Electromagnetic simulation experience (e.g., Sonnet, Ansys HFSS/Lumerical, or similar tools) Experience with data
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researchers, clinicians, and data managers, to ensure the accurate and effective application of statistical methodologies. Statistical Methodology Research: ● Conduct comprehensive literature reviews and
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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Posting Details Position Information Posting Number PG191605PD Position Number 00111813 Position Type Post Doc FLSA Departmental Information Department ID 196001 - Department of Population Health
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exceptional opportunity for early-career scientist with training in nutrition or biostatistics (with an interest in nutrition) to develop advance skills and experience in clinical trial data analyses, clinical
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materials science and engineering and where appropriate incorporate solid mechanics, thermomechanics of layered materials via finite element modeling. ● Collect and analyze data, including periodical
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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of computational biology, Genomics, machine learning, and data science, contributing to the development and evaluation of advanced algorithms for analyzing large-scale biological datasets. This role is ideal