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Field
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Numerical Simulations of Complex Dynamic Systems, E.g. Turbulence, Hurricane. The duty of the role is within the range of: 1) developing novel algorithms on data analyses and data mining, e.g. Large Models
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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properties that are not found in nature. The candidate's role would be to explore new design concepts, simulate their behavior using modeling tools, and collaborate with experimental teams to fabricate and
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indoor environmental quality and energy modelling in a range of building types and sectors and for different occupancy profiles to quantify indoor environmental exposures in the context of Net Zero targets
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engineering and generative machine learning modeling to design gene therapy constructs and validate the constructs in vitro and in vivo. The candidate will work in a highly interdisciplinary environment that
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Previous experiences in simulation-based experiments in networking research Strong mathematics background for optimization and analytical modelling of complex systems Programming languages including C
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Qualifications: Terminal degree in a related field (i.e. computer science, data science, modeling and simulation, or closely related fields); Experience in programming; Proven publication record; Excellent
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execution of complex experiments or simulations, and mentor junior researchers. Responsibilities Lead and execute research projects related to quantum computation, particularly the generation and control
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skills to develop experimental methods, troubleshoot process issues, and interpret complex data sets. Utilize data analysis software, simulation tools, and relevant programming languages for modeling
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advanced data analysis methods, simulation tools, and scientific programming to support process modeling and predictive materials design. Translate experimental findings into scalable, commercially viable