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. Solid background in signal processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical analysis and data management
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) Evaluate the implications of these associations for extraction processes; and 3) Assess the critical mineral resource potential of unconventional wastes through geospatial and statistical analysis of supply
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reporting activities. Contribute to academic life by supervising MSc and Bachelor students, and assisting in teaching activities. Engage in training opportunities including proposal writing, high-impact
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collaborating effectively in a multidisciplinary consortium. Strong analytical and critical thinking skills. Excellent project management and organizational skills. Ability to supervise MSc and PhD students
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of appointment is required. Preference will be given to candidates with advanced training in statistics, experience working with large administrative datasets, and/or an exemplary interest in applied
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and MSc International Business & Politics (IBP), and the graduate diploma program (HD) in International Business. To learn more about the research and education of the department, please visit
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candidate will join the “Ecosystem Functioning” research group (ECOFUN - https://ecobio.univ-rennes.fr/ecofun-diversity-interactions-processes ) and will be supervised by Cécile Monard (CNRS Researcher) and
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and disease (https://sites.psu.edu/nighot/ ). The lab is especially interested in the role of defective intestinal tight junction (TJ) barrier in inflammatory bowel disease (IBD), including Crohn’s
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Posting Summary Logo Posting Number RTF00204PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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data assimilation systems on Unix/Linux and high-performance computing platforms. Evaluate model and assimilation performance using statistical and dynamical diagnostics and verification against