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. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Neuroscience Experience in rodent stereotaxic surgeries
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or willing to learn geospatial analysis. Self-motivated Willing to pursue research objectives stated in the projects’ descriptions. Quantitively minded A background in Oceanography, Remote Sensing, Meteorology
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have or be expected to have a PhD with appropriate research experience in computational biology, chemistry, biochemistry, computer science, biological or chemical engineering, forensic science, or a
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. The appointment willbe for one-year, with the possibility of extension based on funding and performance.A PhD is r equired in cognitive neuroscience, psychology, statistics, orrelated tec hnical field.Programming
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specialists to advance the science in GSDs. This postdoc position requires a minimum two-year commitment and will consist of a hybrid work arrangement (approximately 60% in office, 40% remote). This position
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opportunities to develop research profile, to travel to give demos and presentations, and to write academic papers. Candidates should hold a PhD degree in Computer Science or other relevant discipline. The
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
and Experience Requirements A Ph.D. with an emphasis on remote sensing. Required Qualifications, Competencies, and Experience Required Qualifications for Remote Sensing Post-doc: 1. A PhD degree with an
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to meetings with industrial collaborators if required ¿ Engage with your own personal development opportunities. You should have a degree in Chemistry and a PhD in polymer chemistry. All applicants must
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. About the role To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (awarded or thesis submitted) in Addiction Experience in
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through other channels. Person Specification: PhD in a discipline with a quantitative background, including statistics, data science, health science, epidemiology or a related areas. Experience in data