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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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experience with molecular biology. Familiarity with protein analytical methods. Good interpersonal and communication skills to obtain help when needed, such as learning new techniques from collaborators. Skill
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. Familiarity with protein analytical methods. Good interpersonal and communication skills to obtain help when needed, such as learning new techniques from collaborators. Skill with molecular cloning. Experience
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). Experience in interdisciplinary team-based research. Preferred Qualifications: Prior research experience in computational biology, applied mathematics, or quantitative biology. Familiarity with numerical
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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, foreseen in the application: 1-Development of the SUPERB framework 2- Definition of building classes and numerical models for physical vulnerability assessment 4-Definition of baseline data reflecting
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experiment; LHCb. 2. Additional Requirements: 1) teaching experience 2) knowledge of issues related to numerical methods 3) willingness to cooperate and travel to research centers, including CERN Geneva 4
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and Topology; Analysis; Geometry; Numerical Analysis and Optimization; Probability and Statistics). (c) Production and edition of scientific papers and progress reports on his/her research work. (d