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Transportation Program, aimed at addressing power quality challenges in electric vehicle (EV) charging infrastructure. The selected candidate will contribute to the modeling, simulation, and prototyping
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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 communication
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into the design of a prototype implant to be tested in large animals. The Neural Engineering and Ophthalmology research environments are excellent. The Neural Engineering Training Program and the Vision Research
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field Strong R programming skills Work Locations This position may be eligible for remote and/or flexible work opportunities at the discretion of the hiring department. Flexible work agreements are
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degree (M.D., M.B.B.S., or equivalent. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry out the project as detailed. It
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* Applicants should have a medical degree (M.D., M.B.B.S., or equivalent.) Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry
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in the position, introduce your current research, and discuss your future research plan. This will also be used to assess your written communication skills, so please refrain from using GPT or other AI
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English, and competence in word processing and spreadsheet software. Desired Qualifications* Previous PhD or postdoctoral research experience in pediatric brain tumors. Modes of Work Positions that
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junior lab members Proficiency in Microsoft Office, GraphPad, and other scientific software programs Desired Qualifications* Molecular biology, Cancer biology, and immunology research lab experience
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researching the auditory midbrain (inferior colliculus). Detail-oriented, quantitative mindset and experience with scientific programming (Matlab, python, or R) is critical. Strong organizational, leadership