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: 31.10.2029 Reference no.: 6186 A three year, full-time (40 h) Post Doc position is available at the Division of BioInvasions, Macroecology & Global Change ( https://bioinvasions.univie.ac.at ) at the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
Hiring Range Salary range based on the NIH NRSA FY 2026 stipend schedule, subject to adjustment by NIH. See: https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-076.html Proposed Start Date 01/11
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and data will be lost. Posting Summary Logo Posting Number RTF00195PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title
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proceedings. Knowledge of systems programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications
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/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and collaborative research environment in cold regions sciences, in
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chemistry or a related field, strong programming and machine-learning skills, and a solid foundation in organic or physical organic chemistry. Experience in computational chemistry, cheminformatics
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computer programming background who has an interest in ecology and biodiversity conservation, or an ecologist with computational modelling experience (e.g., using R, Python, Matlab). Project funding
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years. The salary is highly competitive and no income tax is currently paid to the Kingdom of Saudi Arabia
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drastically reduces power and latency. We are looking for a Postdoctoral Researcher / Research Engineer with a background in Embedded Systems and Low-Level Programming to design the control logic that
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Computer programming skills Desired Qualifications Experience developing computational tools for biomolecular systems Experience training machine learning models Experience working in a collaborative