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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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evaluation and development of novel PEC systems. · Design and implement in-situ TEM experiments using the available gas and liquid sample holders to study dynamic processes in real-time, under controlled
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and
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DOE-STP Critical Minerals and Energy Innovation - Alternative Fuels and Feedstocks Office Fellowship
Feedstocks Technologies R&D program develops reliable and cost-effective technologies for producing, harvesting, storing, processing, transporting, and mobilizing abundant domestic biomass and waste feedstocks
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under ‘research project’ in the application platform. Application process Deadline for submissions: 25th August (23.59 CET) Shortlisted candidates will be notified no later than 10th September Interviews
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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, Co-PIs and assigned staff Implement project activities Functional Area 2: Data Acquisition Percent Effort: 40% Participate in field and laboratory-based project activities to acquire data Process and
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Apply now Job no:536170 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Research/Scientific/Grants, Computer and Information Science, Data Science Department: CAS Department of Data
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mental health supports consistent with Loyola University Chicago’s commitment to advancing social justice through transformative education. Computer Skills Skilled in using various software programs (e.g
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the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and