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with all institutional training and code of conduct. Ability to work independently based on experience. Knowledge of molecular dynamics simulation and mathematical modeling. Qualifications REQUIRED
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Research Associate Vacancy ID PDS004395 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 Proposed Start Date 07
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motivated researcher willing to work as part of a team. Good communication skills and an appropriate publication record are essential. General tasks will involve scientific research; analysis and
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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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, foundation models, vision-language models, and computer vision for various problems relating to scientific discovery. Work in interdisciplinary collaborations with subject matter experts on various aspects
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-4-fold by both TGFb1, and/or HFD feeding) suggesting that Pcpe2 may play a role in TGFb-like signaling pathways in VAT PCs. We are looking for a creative post doctoral fellow who will assist in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
. The ideal candidate has research background and interests in one or more of the following areas: optimal transport (mathematical theory, computational analysis, machine learning applications), approximation
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(e.g. Python, R, …). Familiarity to work on a Linux computing cluster (HPC). Preferably experience in working with large medical image data. Vivid interest in the analysis of microscopy images or similar
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
. The fellow’s primary role will be to lead and support water quality research and lead the development of trainings and short courses on water quality monitoring and analysis. The Water Institute at UNC
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(MUCCnet: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based