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for scientific publications, and supervise graduate students. Job Description: Required Qualifications Education: PhD in Neuroscience, Computer Science, Bioengineering, Physiology or related fields. Preferred
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Institute of Data Science. General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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, competitive and resilient position through creation of new, higher value-added products and more advances manufacturing processes. We are seeking a highly motivated Associate Research Fellow to work within the
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operational excellence and engagement with the communities where we live and work. ORNL invites you to apply to its Distinguished Staff Fellowship (DSF) Program. This program recognizes outstanding early-career
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Type: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in
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competitive research program in surface science. Publish in high-impact journals and secure competitive research funding. Supervise Honours, Masters, and PhD students. Service & Facility Management Specialise
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(Python, JavaScript), deep neural networks and computer vision; Design and implementation of database systems; Design and implementation of application programming interfaces, server-based and cloud
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. Comprehensive insurance plans including medical, dental, vision, and prescription coverage. Flexible spending accounts and an award-winning employee wellness program, plus an employee assistance program
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of Medicine (David Granville) Posting End Date July 8, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Aug 31, 2027 The expected salary range for this position is
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. The successful applicant will train directly under the supervision of Dr. David Granville, PhD, and will have an opportunity to develop their leadership skills in the laboratory by participating in overseeing