4 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulm-University" PhD positions at University of Birmingham
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for candidates with a background in or demonstrated ability to learn about: Bayesian methods, probabilistic machine learning or inverse modelling. Prospective applicants are encouraged to direct informal inquiries
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engineering, applied physics, or a closely related subject. You should be comfortable with hands-on experimental work and willing to learn laboratory biology. Experience with MEMS, actuators, COMSOL, or cell
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how machine-learning-based methods can help overcome this bottleneck, opening the door to excited-state simulations at scales and system sizes that are currently out of reach. You will work at the
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workflows to implement such interactions into supramolecular hosts (pubs.rsc.org/en/content/articlelanding/2022/cc/d2cc00532h ). You will learn a wide range of molecular modelling and data-driven techniques