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biophysics, ideally on (bio)polymer systems. A well-developed ability and motivation for interdisciplinary work combining theoretical modeling with experimental results. Teaching skills. Additional assessment
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separation. We plan for theory-oriented work, combining analytical modeling based on liquid theory and coarse-grained simulations to explain experimental phenomenology. Connection to experimental work is
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courses in the chemistry of polymer and chemical thermodynamics. Considerable weight is given to experience (basic to intermediate) in computational chemistry, molecular modeling, or simulations (e.g
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
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, energy harvesting and storage, and optics. From AI modelling of materials and biological complexity to the design of multifunctional micro- and nano systems, we combine theory, fabrication, and innovation