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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
with related fields, including marine biogeochemistry, physical oceanography, environmental genomics, remote sensing, ecological modeling, and/or data science (AI and machine learning). We
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The i3S laboratory (https
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of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php
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interface of machine learning, deep learning, data science and applications in forest sciences. Together with the Director, you will further develop KIForst as a faculty-wide platform for methodological
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click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy of The University of Texas at Arlington to conduct a criminal background
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technology, audiovisual systems, and related hardware and software used by students, faculty, and staff. 3. Diagnose, troubleshoot, install, configure, maintain, and repair computer hardware, software
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by Dr. Marvin Meyers in the Department of Chemistry (https://www.slu.edu/science-and-engineering/academics/chemistry/faculty/marvin-meyers.php). This work involves the organic synthesis of new
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Summary The research laboratory is seeking a motivated undergraduate student to assist with ongoing research projects in machine learning, deep learning, computer vision, and related areas
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of the ARIES project, reference M2030-FEDER-03053400, funded by IDR – Instituto de Desenvolvimento Regional, under the following conditions: I. Scientific Area: Biomedical Engineering, Computer Engineering
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for a Professorship (W2) (5 years/tenure track) of Statistical and Machine Learning in the Life Sciences, combined with the lead of a research group Computational Statistics & Dynamical Systems for Life