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the guidance of the PI (Greg Cartee, PhD) and other experienced researchers. The goal is to use physiological, biochemical, molecular, and cellular approaches to test specific hypotheses about the mechanisms
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for research projects, including developing protocols, assays, data management standards, software interfaces. The assistant research scientist will help supervise data collection, train students/technicians
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will teach one course in the Fall of 2025, the graduate-level methods course CCS 501: Social Sciences in Historical and Contemporary China. Required Qualifications* Applicants should have a PhD in a
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public health or related field (with health policy or public health related focus). 0-2 years of related experience, including a working knowledge of research/evaluation methods, statistics and key health
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program to the next level. As part of the DTE Energy SEM program, participants will help to develop a formal energy management policy, participate on the campus energy team, implement the campus engagement
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workflow charts for software applications Proven ability to produce and maintain reports Excellent analytic and problem-solving ability Strong interpersonal, organizational, and presentation skills Ability
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. The research investigator will lead code development for ongoing federal grants and maintain key software infrastructure while also conceiving and articulating innovative research methods, managing proposals
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documentation is completed accurately and efficiently. During ultrasound imaging sessions, you will assist by preparing equipment and maintaining a smooth workflow. Your expertise with ImageJ software will be
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Qualifications* PhD from accredited programs in Engineering, Medicine, Nursing, Pharmacy, Public Health, Social Work, and/or related fields pertinent to study cancer care delivery. Physician scientists (MDs, Dos
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coordinating complex research studies with experience maintaining strict timelines and high-quality deliverables. Research Expertise: Comprehensive understanding of quantitative research methods, data analysis