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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Overview This research position is within the Translational Center for Resuscitative Trauma Care. Our mission
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. Expected distribution of duties includes: ● Laboratory benchwork: 75% ● Data analysis, writing, and presentations: 25% Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related
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Job Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Overview: Provides research in transportation network modeling under the supervision of Professor Alireza
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Compensation Range: $62,232 - $70,000 Work Arrangement: • The position is expected to work primarily on-site. Your work
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information Model active participation Know and teach from ethical practice perspective Give and receive oral feedback, resources, and practical knowledge Support student problem solving Interact with learners
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% Participation in lab meetings and activities, dissemination of information through writing, presentations, and outreach Qualifications Required: Candidates must have a PhD in environmental engineering, earth or
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smaller projects and will assist research staff and prepare work and equipment use schedules. The position will assign and review work and monitor data collection and documentation, such as laboratory
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-activated immunogenicity, scaled-up vector production, and assessment of AAV efficacy in pre-clinical animal models. The goal of our research is to ensure advancement of gene therapy treatment for patients
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%). • Contribute to data and lab management (5%) Qualifications Required Qualifications: • PhD, DO, MD or similar degree in health sciences or related field • 3+ years experience in biological sciences laboratory
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-based studies/experimentations using mice model systems under guidance and direction of principal investigator - Analyze data collected from experiments. Assist research team members with preparing data