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complex real-world data, and translate analytical outcomes into high-impact methodological and applied manuscripts for tier-1 peer-reviewed journals. Furthermore, the scholar will contribute to the broader
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/ coarse- grained approaches) Experience with enhanced sampling techniques; computational biophysics/chemistry Usage of high-performance computing clusters, preferably GPU-based computing Proficiency in
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. · Developing and implementing computationally intensive algorithms using high-performance computing (HPC) clusters. · Managing and analyzing multiple large-scale datasets, including UK Biobank (UKBB
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(LHCb) physics program at the Large Hadron Collider (LHC). This group is actively participating in the design and realization of various hardware projects in support of the LHCb and electron ion proton
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runaway models and numerical methods in OpenFOAM. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures
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, computational modeling, and data analytics. Experience leading full-scale structural testing. Proficiency in Python or equivalent programming language. Experience with high-performance and high-throughput
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Python and experience working in Linux and high-performance-computing environments. Experience developing or using automated and reproducible computational research workflows. Ability to conduct
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outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
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, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a
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an exceptional opportunity to join a collaborative, multidisciplinary research program dedicated to advancing next-generation malaria vaccines while providing outstanding scientific mentorship and career