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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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to demonstrate knowledge of computational epidemiology, individua lbased simulation, spatial modeling of epidemics and other geospatial software. * Ability to show proficiency in data management. * Ability
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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IMT Atlantique, ULCO and Université de Rouen. In particular, the design of the models will be guided by results of the analysis of Wikipedia data obtained by other teams, and discussions with a
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5 years research experience in hydrological/agroecosystem modeling. Knowledge, Skills and Abilities Required: Knowledge of agroecosystem modeling, optimization algorithms, and high-performance
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Posting Details Position Information Position Title Clinical Assistant Professor, School of Social Work Department School of Social Work Posting Number F260033 Posting Link https
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focus on technology foresight developing data-driven approaches for probabilistic modelling of new technologies; a second will focus on policy analysis leveraging machine-learning approaches
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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, or sports administration Special Instructions to Applicant: Please ensure your full range of knowledge, skills, abilities, experience and education are listed on your application. Do not write see resume
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website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/359529/phd-position-inspection-and-ass… Requirements