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practice, education, research, and policy. In addition, the desired clinical area of expertise includes Family Nurse Practitioner with simulation experience as a plus. Expectations also include participation
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 23 hours ago
University of Missouri ’s Division of Animal Sciences, one of the nation’s preeminent academic divisions, seeks a dynamic Division Director to join the talented faculty, staff, students, and partners
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circuits, transport phenomena in graphene and molecular nanostructures, to unconventional and topological superconductors. Our division integrates theory and experiment and works closely with groups such as
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quantitatively experimental data in different polymeric systems with different self-poisoning mechanisms, that classical theories were unable to handle. Monte Carlo and Molecular Dynamics simulations will also be
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molecules and biopharmaceutical design. Quantum Computing in Pharmacology: Using quantum mechanics and quantum computing to model complex molecular interactions and simulate biological systems with
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, medicine, nursing and midwifery. Research at the department integrates basic and translational, molecular and computational approaches with a focus on cancer biology, as well as clinical research projects in
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the dynamics of protein/DNA assemblies (chromatin/nucleosomes). The additional requirements for this position include: compliance with the formal requirements outlined in the: Regulations on awarding funding
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are looking for a highly motivated and dynamic candidate who will strengthen the institute’s research and teaching within nanoelectronics, with a focus on neuromorphic-inspired devices. The position is within
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recycling, particularly of polyesters. You also need to have strong expertise in polymer chemistry, including advanced materials characterisation. Meriting qualifications is experience in molecular dynamics
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atomistic simulation methods, such as molecular dynamics, density functional theory, and machine-learning force fields, to elucidate the deformation mechanisms activated by external stimuli. The candidate