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JOB SUMMARY The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience
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++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents, or similar. Solid expertise in
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our compensation scales is available at: https://apptrkr.com/get_redirect.php?id=7037400&targetURL= COMPENSATION: Pay Rate: $75,000 - $80,000 annually This represents the good faith estimate
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California State University, Northridge | Northridge, California | United States | about 11 hours ago
the right place. Learn more: https://www.csun.edu/about-csun . Major Duties Under the general supervision, the Development Analyst performs analysis, supports fundraising strategy, prepares communications
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Posting Summary Logo Posting Number RTF00064PO26 USC Market Title Research Specialist Link to USC Market Title https://uscjobs.sc.edu/titles/156397 Business Title (Internal Title) Research
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Posting Summary Logo Posting Number RTF00063PO26 USC Market Title Research Specialist Link to USC Market Title https://uscjobs.sc.edu/titles/156397 Business Title (Internal Title) Research
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scales is available at: https://apptrkr.com/get_redirect.php?id=7037579&targetURL= COMPENSATION: Pay Rate: $25.00-$27.00 per hour This represents the good faith estimate of the hourly wage range we
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Engineering » Computer engineering Engineering » Communication engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 20 Apr 2026 - 23:58 (Europe/Warsaw
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the area of the AI Computer Systems. The successful candidate will lead an innovative research program in cutting-edge AI computer system technologies. The position requires knowledge of both hardware and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 8 hours ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward