5 results
Develop research linking statistical physics with statistical machine learning. The appointment brings together theory and computational methods to study information, inference and dynamics.
Investigate living systems using theoretical physics and experimental biology. Topics include cellular development, evolution, chromatin and collective behaviour away from equilibrium.
Study molecular reaction chemistry in aqueous and organic media using simulation, statistical mechanics and machine learning. The Chemical Dynamics Group seeks scalable computational workflows, coordinated with spectroscopy experiments, to understand structure, thermodynamics and reaction dynamics. Applications are made on the employer’s recruitment portal;…
Develop theory and computational methods for complex biomolecular systems in Helmut Grubmüller’s group. Topics include variational free-energy methods, solvation-shell thermodynamics, constant-pH simulations and Markovian thermodynamics, with applications to ribosomes, fatty-acid synthase, CRISPR systems and intrinsically disordered proteins. Doctoral…
Independent theoretical-physics research within Cornell’s Laboratory of Atomic and Solid State Physics and the Kavli Institute. Topics span hard and soft condensed matter, cold atoms, quantum information, statistical physics, electronic structure, hydrodynamics and biophysics. Appointments are annual with an anticipated total duration of two years, an…
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