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Field
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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machine learning algorithm to improve the modeled surface meltwater in the Goddard Earth Observing (GEOS) model. Advocating and adapting the model based on collaborator feedback is key to the success
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and lifting object from floor to above shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous
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. Mathematical techniques include qualitative and numerical analysis of deterministic and stochastic dynamical systems, optimal control, network models, and machine learning. Preference will be given to candidates
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transport in porous media, and Machine Learning To Apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/29995 . Anticipated start date is as soon as possible, this is a short
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of studies of HLA-E-VL9 antibodies in cancer models (in vitro or animals) Other studies on which you and Drs. Haynes and Azoitei agree In addition, you will need to: Present scientific results at meetings and
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community health workers (CHWs) with advanced data-driven tools to improve healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine
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experience in amino and fatty acid requirements and supplies. Effective use of statistics and modeling tools in support of decision-making tools. Proven ability to work independently and learn continuously
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networks; experience in applying machine learning models and processing imagery from UAS and satellite platforms. Other requirements: Willingness to work irregular hours and in occasionally adverse weather
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models and machine learning. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Experience in epigenetics or gene