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during downstream processing. Theoretical investigation of molecule stability during DSP, using molecular interaction simulations such as e.g. Molecular dynamics (MD). Combination of PAT and data driven
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, carbohydrate-active enzymes, polymer chemistry, spectroscopic methods, material science, 3D-printing, statistical physics and molecular dynamic simulations, formulation technologies. Excellent communication
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and motivated theoretical biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data
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time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations
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biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data-driven simulation with physics
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programme. Examples include stem and germ cells, biostatistics, developmental cell biology, neurosciences, and modelling and simulation of biological systems. In addition, PhD students at the DIGS-ILS have