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ones. Collaboration with the wider community is also part of the role. International applicants must initially be able to teach in English. Applicants without good knowledge of Swedish are expected
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Compensation: $35/hour Compensation Type: Hourly Employment Type: Grade: NE17 Department: Instruction Position Summary The EMS Instructor is a part-time position located at Clovis Community College
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-accreditation with BABCP Desirable Application/interview Further Information Grade 8 Salary £48,822 - £53,301 pro-rata Work arrangement Part-time, 0.4 FTE (part-time/job-share applications are welcome) Line
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Compensation: $35/hour Compensation Type: Hourly Employment Type: Grade: Department: Instruction Position Summary The EMS Instructor is a part-time position located at Clovis Community College and
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requirement or preference? Work Schedule 29 hours or less per week. Schedule may vary based on program and training schedules and may include occasional evening hours. This is a part-time (non-exempt) position
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of Engineering Position Headcount 1 Position Title Student Research Assistant Academic Year Academic Year 2026-2027 Term or Semester All Academic Year Is this Role for an Undergrad or Grad Student? Undergrad
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researchers from all over the world work here, led by Prof. Robert Katzschmann. This is a role with reach. You represent our lab toward company leadership and funding bodies, you shape which collaborations we
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wide range of training and development opportunities that will help you build your experience and advance your academic career. This is a part-time post – 0.8 FTE (28 hours per week), and you will be
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against different operation conditions. The position is a part of a research project and prototype battery modules will be produced by one of the partners. The tasks include testing of these prototype
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
techniques and will play a key role in attracting external funding to strengthen this emerging research field. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative