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Resources (IANR) and the Department of Entomology are committed to creating learning, research, and Extension programming environments where the unique contributions of each individual are acknowledged and
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, the Peabody Museum, or more technical parts of the University for periods of time to learn about both research and operational workflows. Connections with the Wu Tsai Institute, the AI at Yale program, the Data
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, preferred. Strong oral and written communication skills. Experience with facilitation of workshops or professional learning communities is beneficial but not required Ability to work independently and
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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
our research please see our website: https://www.thelakelab.org/ Responsibilities Generate and characterize novel cellular models of mitochondrial genome dysfunction using genome-editing and related
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to promote neurological recovery. IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and
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Devices (including applications to Health), Electrical Engineering Systems (including Communications, Information Theory, Machine Learning), and Computer Engineering (including Embedded Systems, Security
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journals. Where to apply Website https://www.academictransfer.com/en/jobs/362474/postdoctoral-researcher-in-cogn… Requirements Specific Requirements We are looking for a candidate who: holds a PhD in
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cohort studies. The position is for 3 years, starting on October 1, 2026, or as soon as possible hereafter. Information on the Department of Public Health can be found at https://publichealth.ku.dk/ Our
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energy systems and demand response; process and energy system modeling; optimization and model predictive control; and applications of artificial intelligence and machine learning to energy systems
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control