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. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8263-MARBAR-004/Default.aspx Work Location(s) Number of offers available1Company/InstituteDéveloppement, Adaptation
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degree = 4 years of directly related work experience). Department may hire employee at one of the following job levels: Financial Planning and Analysis Partner, II: Requires a bachelor’s (or equivalency
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - CENTRO RICERCA SISTEMI ELETTRONICI INGEGN.INF. E TELECOM."ERCOLE DE CASTRO" | Italy | 3 days ago
a Research Infrastructure? No Offer Description The candidate will take part to the implementation and validation of a programming device for the buoys located between the rails (balise
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will this work be done? Orange Approved Supervisor Ashley Kranjac Supervisor Email [email protected] Scheduling Please use dates within Chapman Academic Calendar (https://www.chapman.edu/academics
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campus training in support of the University of Washington’s service and recharge center operations. This role serves as the central administrative point-of-contact for rate development, fiscal analysis
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California State University, San Bernardino | San Bernardino, California | United States | 7 days ago
the full policy, go to https://calstate.policystat.com/policy/10899725/latest/ Salary is commensurate with experience. Assistant Professor (Range 3) - $6,221 – $13,224 Associate Professor
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proprietary software, written in JavaScript, and perform data analysis during the Fall 2026 semester. Essential Functions: Further develop the Quantitative Tutoring Lab’s proprietary software, written in
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eligible, non-tenure track, fixed term (9-month) appointments, ranging from part-time to full-time (.50 – 1.0 FTE), depending upon unit needs, available funding, and sufficient enrollment. Responsibilities
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. Description: This project will focus on the analysis of Gravity Recovery and Interior Laboratory (GRAIL) and Lunar Reconnaissance Orbiter (LRO) data to improve our understanding of the Moon's interior structure
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Researcher shall: Support CENSE’s research activities by enhancing research capabilities in the field of data analysis and artificial intelligence as applied to ongoing projects in the area of the environment