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to the proposed program; a competitive publication records appropriate to the applicant’s career stage; the ability to develop independent research and work effectively in international collaborations; good written
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, acceleration) and associated metrics that are relevant to the project objectives (e.g. sound pressure/exposure levels, vibration maps, etc.). Main collaborators and Host institution Host institution : CNRS
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with a PhD in marine biogeochemistry Demonstrable experience in laboratory-based research, including the application of good laboratory practices and the use of analytical techniques. The ability
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collaboratively, including interaction with diverse stakeholders; excellent oral and written communication; good command of English. Desirable requirements: Experience in LiDAR data processing and analysis
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; previous experience as local contact at synchrotron XAS beamlines; knowledge of advance characterization techniques like XANES simulation and ab initio calculations (e.g. DFT). Good time management skills
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) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt
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Engineering, Chemistry, Biochemistry, or related scientific discipline Experience 1. Familiar with various cheminformatics, bioinformatics, data science, retrosynthesis algorithms for enzymes. 2. Experience in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
work in office, clinical research, and field-based settings, including environments with variable climate and infrastructure. Ability to sit or stand for extended periods and use a computer for data
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: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over
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the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300