53 phd-in-computational-neuroscience-"Multiple" Postdoctoral positions at Texas A&M University
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undergraduate students. Qualifications PhD in theoretical physics. A well-qualified candidate for this position will also possess: Research in theoretical high energy physics. Salary: Compensation will be
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normal office hours and/or work on weekends, depending on the experimental timeline. Qualifications Required Education Ph.D. in neuroscience, cell biology, molecular biology, or a related field. Preferred
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. . Preferred Qualifications: PhD in neuroscience. Experience in neuroscience research. Hands-on experience in pain research. Strong background and skills in slice recording combined with optogenetic manipulation
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summarizes results. Writes scientific papers and proposals for existing and new projects. Collaborates with PI and grad students working on similar projects. Qualifications PhD in Physics or Applied Physics. A
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Sciences is engaged in research that falls into all five graduate areas of specialization: Behavioral and Cellular Neuroscience Clinical Psychology Cognition and Cognitive Neuroscience Psychology Industrial
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to obtain access to NOAA Computational Facilities. This position is contingent on extramural funding. WHO WE ARE Texas A&M University-Corpus Christi is a vibrant, Hispanic and Minority Serving Institution
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or upon answering the questionnaire you may attach the documents. Qualifications Required Education Appropriate PhD in public health related field (e.g. health education, health services research, health
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Job Title Postdoctoral Research Associate Agency Texas A&M University Health Science Center Department Neuroscience & Experimental Therapeutics Proposed Minimum Salary Commensurate Job Location
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. Write manuscripts, develop research goals, and mentor student. Qualifications: Appropriate PhD. Ability to stand for extended periods to perform laboratory duties. Ability to lift and move heavy objects
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upon future funding. Qualifications Required Education and Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques