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analysis of atmospheric numerical model output (e.g., WRF, PALM, SAM) Experience with machine learning and artificial intelligence techniques Experience with predictive modeling Environmental, Health
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, engaging with other data analysts, students, post- docs and faculty on the team Conduct comprehensive high-throughput multi-omics data analysis and epidemiological analyses; Apply biostatistics and cancer
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experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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Apply now Job no:526348 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: CBIKS Union: Post Doc Categories:Postdoctoral Research Associate, College of Social and Behavioral
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Apply Now Job ID JR101405Date posted 09/12/2024 The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates
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modelling. Candidate Profile: The Center is looking for a Post-doc to work at the interface between Air Quality modeling and machine learning to evaluate air pollution in Morocco and Africa using modelling
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Posted on Fri, 04/19/2024 - 15:02 Important Info Faculty Sponsor (Last, First Name): DeBoer, Charles Stanford Departments and Centers: Ophthalmology Postdoc Appointment Term: 1 Year, possible
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Position Title Post-Doc Research Associate Vacancy ID PDS004369 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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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doc Scholar Department: Medicine