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Student Instructors (GEO GSIs) to engage in team-based teaching for our 2026 Spring and Summer Half-Term Biology and Ecology and Evolutionary Biology (EEB) and interdisciplinary courses (0.35 effort). These
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communication skills Excellent working knowledge of desktop computer productivity tools Excellent leadership and fiscal management skills and ability to create a goal-oriented climate of teamwork, collaboration
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University of California Agriculture and Natural Resources | Davis, California | United States | 9 days ago
Community Education Specialist 3 Davis, CA, Job ID 85204 University of California Agriculture and Natural Resources Job Description Position Summary: The incumbent assists the academic program team with
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evolution, with the aim of unravelling the nature of biological intelligence. World class scientific research work is at the core of the IMPRS-BI mission. We offer an English-speaking, structured PhD
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available at https://hr-ucpporto.inqueritos.porto.ucp.pt/774136?lang=en . Applications must be submitted in English. Applications shall include the following documents: a) Curriculum vitae. b) Doctoral
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; participation in organizational work for the department and the university; other tasks assigned by the head of the unit, resulting from the profile and nature of the department and the university. Requirements
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experience in toxicity assessment and in the evaluation of bioactive properties of natural products, as well as in microbiological analysis and fermentative processes; Have knowledge of spectrophotometric and
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have: a completed university graduate study programme in the interdisciplinary field of science or natural sciences active knowledge of the English language advanced computer skills Preference in
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Number: 7037603 Seasonal Part Time - Snapdragon Stadium Club Supervisor Description COMPENSATION: Pay Rate: $24.00 per hour SUMMARY: Manages the overall operation of a premium club at Snapdragon
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Fraunhofer IGD and the FBN team to safeguard an efficient collaboration and communication between behavioural biologists and computer scientists. The project is part of the KI-Tierwohl project (https://ki