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Education and Experience: Ph.D. in Genetics, Animal Science, or closely related discipline. Required knowledge, skills and abilities: Excellent verbal and written communication skills Ability to work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Position Title Post-Doc Research Associate Vacancy ID PDS004631 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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experiments, training graduate students, data analysis, scheduled reporting to funding agency and/or collaborators, as well as participating in the laboratory duties. In this role it is critical
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
. MPIA also plays a leading role in the data analysis for Gaia and instrumentation for the ELT. MPIA aims to provide a stimulating and supportive work environment, and the successful candidate can draw on
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committed team and offers an interdisciplinary scientific environment, cutting-edge laboratories and a creative working atmosphere. The PostDoc will be part of the nitrification group headed by Michael Wagner
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October 2025, or as soon as possible thereafter. This position is part of the BIZPOWER (Business Power in the Politics of Wage Inequality and Climate Change) project, which investigates how businesses use
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within the Medical College of Wisconsin (MCW) and be inspired by the work we can do together to improve health, and make a positive, daily impact in our communities. In the role of a Postdoctoral
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: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics
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of Postdoctoral Researcher in Carbon Composites R & D. The Postdoctoral Researcher will lead the development, fabrication, and performance evaluation of carbon-carbon and carbon-metal composite materials within
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for laboratory and field work Strong background in programming and data analysis (preferably Python) Excellent data analysis and publication capabilities Excellent communication skills in English, both written and