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application of machine learning to biomedical data ï‚· Background in computational modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications
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understand and preserve lion populations. Travel to Africa is required, along with a strong background of research in this field, as well as a PhD. Create a Job Match for Similar Jobs About University of
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Requirements: Applicants whose PhD work included substantial experimental work with a focus on superconductor, semiconductor or hybrid semiconductor-superconductor quantum electronic devices, and microwave
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required qualifications must be documented on application materials. Required Qualifications: â¢PhD in Retinal Biology, Immunology, Molecular Biology, or a closely related biomedical field â¢Experience with
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% Participation in lab meetings and activities, dissemination of information through writing, presentations, and outreach. REQUIRED/PREFERRED QUALIFICATIONS Candidates must have a PhD in environmental engineering
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related to a biomedical field. Preferred Qualifications: - Advanced degree (PhD) in biomedical sciences or related field(s) - Experience carrying out complex, long-term research projects. - Experience with
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members, as needed. Required Qualifications PhD in Environmental Engineering, Chemistry, Chemical Engineering, Microbiology, or closely related field Preferred Qualifications: Strong laboratory skills in
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the PI, graduate students, and other postdoctoral fellows. Attend weekly lab meeting Required Qualifications: PhD in neuroscience, psychology, cognitive science, or a related field Preferred Qualifications
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to international destinations to meet with collaborators and collect data (10%). Required Qualifications: PhD in Veterinary Epidemiology or related area and be familiar with R/Stata. Preferred Qualifications: DVM
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outreach (including but not limited to writing publications for peer-review) 10% Miscellaneous (helping mentor junior graduate students, administrative) Essential Qualifications PhD in forestry or closely