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of areas including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods
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)genomic research to better understand the role of transcription factors and the epigenome dynamics. The individual is needed to conduct research on questions related to transcription factor DNA-driven 3D
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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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. This role offers an exciting opportunity to work on developing and validating models for wearable sensors aimed at improving human movement, rehabilitation, and fitness engagement. An important component of
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at the intersection of theoretical chemistry and machine learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics
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management and pain mechanisms and methods under the mentorship of renowned faculty. The successful candidate will have the opportunity to advance their research skills, engage in interdisciplinary
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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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studies, comparative effectiveness research, pharmacoepidemiologic methods, clinical epidemiology, and health services research. They regularly collaborate with researchers across campus, across the US, and
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to IDRIS Experience in analyzing real data Strong programming skills Familiarity with statistical methods Excellent communication and writing skills City: Newark State: NJ Location: Rutgers University-Newark
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opportunity to contribute to cutting-edge research in the development of clinical trials, self-management science, acute/chronic disease management and pain mechanisms and methods under the mentorship