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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
. Description: Context: Laboratory Astrophysics is a core capability at NASA Ames Research Center. Laboratory experiments and quantum-chemical computations simulating astrophysical conditions generate data
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, protein and lipid chromatography (FPLC, HPTLC), various spectrophotometers (UV-visible, CD, fluorimeters), and computers for molecular dynamics simulation. The IPMC institute includes various state
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. Our group combines state-of-the-art methods in experimental ultrafast spectroscopy and molecular dynamics simulations: We develop and apply novel ultrafast spectroscopic methods aimed at uncovering how
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environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and
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year with access 15 January 2026 or by agreement.” Departmental specific information The Department of Medical Biochemistry and Biophysics conducts research within e.g. biochemistry, molecular biology
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systems. Laboratory simulations under astrophysically relevant conditions will provide key insights into asymmetric photochemistry and post-irradiation alteration processes. Where to apply Website https
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of renewal subject to funding availability and satisfactory performance. Applicants should possess a Ph.D. degree in Physics or relevant areas. Those with experience in atomic, molecular and optical (AMO
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
complexes. The successful candidate will develop novel graph neural network (GNN) architectures to learn dynamic information from molecular dynamics (MD) simulations of protein-protein and protein-nucleic