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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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, theoretical models and data analysis. Responsibilities will also include assistance in the day-to-day maintenance of the experimental facilities, liaising with external collaborators, assisting in
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the fields of biochemistry, molecular biophysics, structural biology, and physical and theoretical chemistry. The research includes experimental and theoretical studies of biological matter. We address
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motivated researcher willing to work as part of a multidisciplinary team.The ideal candidate will have a strong theoretical understanding and an experimental background in one or more of the following fields
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Qualifications: Ph.D., M.D., or equivalent is required. Applicants should have training and a significant track record in one of the following areas: -developmental biology -experimental and/or theoretical
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for Doctoral Training in Soft Matter for Formulation and Industrial Innovation, www.dur.ac.uk/soft.matter/soficdt/about/, the Durham Centre for Soft Matter https://www.dur.ac.uk/soft.matter/, and the Biophysical
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
to work on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab include development of novel theoretical and computational methods and AI techniques