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30 Jan 2026 Job Information Organisation/Company University of Greifswald Department Human Resources Research Field Information science Researcher Profile First Stage Researcher (R1) Positions
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degrees in educational leadership, marine biology, nursing practice and psychology; and many distance learning options, including clinical research, an accelerated RN-to-BSN program, an Executive M.B.A
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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Grade Level 10 Salary Range $29.95-39.10/hour Type of Position Staff Position Time Status Full-Time Required Education AA Click here for more information about equivalencies: https://hr.uky.edu/employment
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). Interact with program participants to obtain evaluation data, to include: evaluating effectiveness of classes within program areas for all After-School Programs offered. Assist in the interpretation
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California State University, San Bernardino | San Bernardino, California | United States | about 18 hours ago
, please visit https://www.csusb.edu/human-resources/diversity-inclusion Closing Statement: Reasonable Accommodation We provide reasonable accommodations to applicants and employees with disabilities
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on multiple research projects, without benefit of written policies or procedures. This position requires daily interaction with team members, and may require interaction with Sponsors, health care personnel
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goals, policies and objectives of own work and job standards Requires operational knowledge of computer systems, i.e. Human Resource Information Systems, Student Financial Systems, Financial Aid Systems
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goals, policies and objectives of own work and job standards Requires operational knowledge of computer systems, i.e. Human Resource Information Systems, Student Financial Systems, Financial Aid Systems
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research and practice, including artificial intelligence, big data, bioinformatics and computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics