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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
training in theory and computational science related to molecular biophysics and biomolecular modeling and should have prior research experience and publications in simulations of biomolecular systems and MD
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gained as an undergraduate); strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant
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the lab’s research program. Essential Job Duties Lead the construction of an experimental system simulating post-impact conditions of early Earth atmospheres. Develop custom-designed tools to study the post
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Proficient in personal computer (PC) use and Microsoft Office Attention to detail Possesses excellent communication and organizational skills Demonstrates dependability, as well as positive phone and people
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education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is
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from the TexNet earth observation program or assets that provide quality data. Compare different methods and tools for deformation modelling. Engage in outside funding activities and promote programs
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expected to develop a strong research program that addresses cancer in the respiratory system, that attracts significant extramural support, and contributes to the development of biomedical research within
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degree and are expected to develop and sustain an externally funded research program that complements and enhances the Center’s strengths in neurotrauma. Interested individuals should submit a curriculum
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agencies (e.g., NSF, DoD, DOE, NASA) to secure competitive external funding and support a self-sustaining research program. Lead and contribute to interdisciplinary projects in areas such as smart material
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computational models of the immune response for multi-scale epidemic models. This position offers an excellent opportunity for recent graduates interested in applying quantitative and computational methods