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sponsorship. Job Duties Performing high level experimental, theoretical, and numerical research and data analysis (55%) Presentation publication, and proposal preparation (20%) Mentoring PhD and MSME students
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. May also assist in grant writing. ● Training/mentoring undergraduate and graduate students in analysis of sequencing data. ● Other duties as assigned, which may include professional development
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sponsorship. Responsibilities: Performing high level experimental, theoretical, and numerical research and data analysis (45%) Presentation publication, and proposal preparation (30%) Mentoring PhD and MSME
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Metabolic Flux Analysis (MFA), kinetic modeling, or constraint-based genome-scale modeling (COBRA). • Strong mathematical background in differential equations, linear algebra, and optimization. • Background
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3 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Mathematics History » History of science Researcher Profile First Stage
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(Ref.: 536634). To commence from September 1, 2026 to August 31, 2027. Applicants should possess a Bachelor's degree in STEAM education, artificial intelligence, education, science, mathematics
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. Information on the research activity of the lab is available at: https://www.rinaldi-lab.com/. The successful candidate will be involved with all aspects of the data analysis including design, experimental
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. Duties/responsibilities Performing high level theoretical, and numerical research and data analysis (55%) Presentation publication, and proposal preparation (20%) Mentoring PhD and MSME students (10
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Engineering » Systems engineering Engineering » Other Mathematics » Mathematical analysis Technology » Energy technology Researcher Profile Recognised Researcher (R2) Application Deadline 11 Aug 2026 - 21:59
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, electrical engineering, cognitive science, applied mathematics, physics, or a related field. Strong computational background and hands-on experience building AI/ML models. Expertise in modern architectures