42 phd-in-computational-neuroscience Fellowship research jobs at University of Michigan
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: Completed a doctoral degree program (MD, PhD, DrPH, EdD, or equivalent) by the starting date. Demonstrated commitment and interest in opioid-related research. Research experience within a relevant discipline
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procedures and processes; Mentoring trainees working on the project in study design, research methods, scientific writing, and team science. Required Qualifications* PhD in epidemiology, statistics
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) PhD graduate who is interested in strengthening their experimental, analytical, and publishing skills before transitioning to independence within academia or bio-pharma industry. Transferring
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sequencing to study the cellular and molecular changes. The role involves both experimental and computational work under the supervision of the Principal Investigator. Mission Statement Michigan Medicine
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conjunction with the PI. Think creatively about research projects to help shape the long-term direction of the lab?s research program. Work cooperatively with other members of the lab and assist in training
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guidelines. Required Qualifications* PhD in biological sciences or related field with at least 2-3 years of laboratory research experience. The ability to work productively in a team environment and work with
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particular sequential, multiple assignment, and randomized trial design. You will have the opportunity to mentor the PhD students on the team. Experience in any of the following areas may be useful: SMART
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. in neuroscience, pharmacology, chemistry, molecular imaging, biomedical engineering, or a closely related field. Familiarity with neuroreceptor and/or neuroimmune biology. Excellent written and oral
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Qualifications* PhD degree in analytical chemistry, chemistry, pharmaceutical sciences, pharmacology and related fields. LC-MS skills, knowledge, and experience for small or large molecules are required
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Qualifications* PhD in biochemistry or related field with at least 2-3 years of relevant laboratory research experience. The ability to work productively in a team environment and work with limited supervision