Research Scientist With ADR (authorite Diriger Des Recherches). at University of Luxembourg
Luxembourg
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Summary
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Senior
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Top School
Josh Berryman is a research scientist and leader of a junior soft matter/biological self-assembly group at the University of Luxembourg, bringing 13+ years of experience at the interface of physics, computation, and statistical learning. Trained in computational physics (PhD, Leeds) with foundations in physics and AI (Edinburgh), he builds and applies AI, machine learning, and advanced statistical methods to problems ranging from quantum mechanics to epidemiology. An experienced developer of atomistic molecular dynamics tools, he contributes to the AMBER simulation package and specializes in landscape search and algorithm design for large-scale data-driven reasoning. His background spans low-level systems programming to high-level scientific modeling, enabling pragmatic translation of complex theory into reproducible computational workflows.
13 years of coding experience
3 years of employment as a software developer
BSc & MSc, Physics and AI, BSc & MSc, Physics and AI at The University of Edinburgh
Master of Science (MSc), Physics, Master of Science (MSc), Physics at University of Edinburgh
PhD, Computational Physics, PhD, Computational Physics at University of Leeds
Contributions:7 pushes, 1 branch in 1 year 9 months
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