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good oral and written proficiency in English. Knowledge and experience about various front-end and data conversion circuit architectures. Experience with theoretical and practical aspects of discrete and
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data, preferred. Epilepsy, respiratory, or biomedical engineering animal research experience, preferred. Solid background in experimental design, statistics and scientific writing, preferred. Background
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to candidates who have prior experience with modular Lie superalgebras. Candidates must hold a PhD in mathematics or Theoretical Physics. The ideal candidate will have extensive experience with cutting-edge
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natural event (e.g. wildfires, volcanic eruptions) which can be used as analogues of SRM to provide evidence for informing model improvement without worry about the risks of field experiments. The derived
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of Position Other Position Time Status Full-Time Required Education PhD Required Related Experience None Required License/Registration/Certification N/A Physical Requirements Sitting and/or standing
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of statistics is preferred. Experience with experimental work and molecular ecology methods is an asset. The candidate must demonstrate proven ability in independent scientific research and skills in writing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
. Position Summary The Department of Psychiatry and the Carolina Institute for Neurodevelopmental Disabilities is seeking a full-time Research Assistant Professor. Minimum Education and Experience Requirements
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
and experimental researchers. In addition to research activities, the successful candidate is expected to contribute to mentoring of graduate and undergraduate students, proposal writing, and other
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in a relevant field (e.g., computational linguistics, digital humanities) Excellent programming skills, with extensive experience in Python Extensive experience with recent Python-based machine
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g