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Requirements: Minimum Qualifications: Minimum education: PhD in a scientific field or MD Minimum experience: 0 Years Why MCW? Outstanding Healthcare Coverage, including but not limited to Health, Vision, and
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molecular, biochemical, and behavioral manifestations. We have collaborations with other labs that enrich the overall research experience. QUALIFICATIONS Applicants must have PhD and/or MD (or equivalent
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 24 days ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The NASA Goddard Institute for Space Studies (GISS) Impacts Group is focused on the application of Earth
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presentations. Collaborate with project team including PhD students, researchers, professors, and industry collaborators. Knowledge, Skills and Abilities Skilled in analytical instrumentation. Skilled in field
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availability of funding and satisfactory performance. Eligibility: Candidates should be US citizens, nationals, or permanent residents, and they must have received a PhD in computational and applied mathematics
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Number: 235300 Minimum Education and Experience: Qualified candidates are required to have a PhD or an equivalent doctoral degree, experience in molecular biology, animal science, or reproductive and
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in
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measure success. Basic Qualifications: A PhD degree in Computer Science or related discipline. Demonstrated experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python
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other domain experts to facilitate collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer
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: Monday – Friday, 8 a.m. – 5 p.m. Summary The postdoctoral associate will focus on data collection and management of clinical projects on aortic disease research. The ideal candidate must have an MD or PhD