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of $60,000. The position includes a $5,000 annual research budget and health insurance, as well as manuscript development and other professional support. In the first year, the Fellow will teach one course, a
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discipline. May require experience with specialized software programs. Additional Qualifications: Previous experiences in electrochemistry, photochemistry, organic and organometallic synthesis, and catalytic
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training best-in-class health care professionals and developing cutting-edge procedures and research that improves the health and clinical care of patients. Within Wang's lab, there is a strong commitment to
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ecocriticism and literature. We will ask that the Fellow teach a 1/1 or 1/2 class load, depending on interest or departmental need. This is a one-year appointment with an annual salary of $55,000 with full
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responsibilities will be (i) data analysis and (ii) software development & maintenance as part of LHCb's RTA Project (Real Time Analysis). It is anticipated that the selected candidate will be based at CERN
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within the University of Cincinnati’s College of Arts & Sciences invites applications for a Postdoctoral Research Fellow position whose primary responsibilities will be software research, development, and
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training best-in-class health care professionals and developing cutting-edge procedures and research that improves the health and clinical care of patients. In partnership with the UC Health academic
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of identification for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9-acceptable-documents
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I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9-acceptable-documents Important: To apply you must create a profile and
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training best-in-class healthcare professionals and developing cutting-edge procedures and research that improves the health and clinical care of patients. In partnership with the UC Health academic