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modeling and simulation to complement physical experiments. (Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development. And possess at least three
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)—to characterize biological structures and their model systems, as well as to develop electrochemical sensors and biofuel cells. This research line is directly relevant to the proposed PhD topic of developing and
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trenching, remoulding, and pore-pressure variation. This project will develop a new computational model to simulate seabed–mooring interaction at the particle scale. It will combine the Discrete Element
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industrial decarbonisation modelling to support the EU-funded FLARE project. The role will lead the technical development and integration of bottom-up, organisation-level decarbonisation models for energy
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on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina Retirement Yes State
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Offer Description Development of atomistic ab-initio simulations and machine learning models for the study of phonon transport, phase transitions, and structural optimization of phase change materials
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
to work in a large team alongside undergraduate and graduate students and project scientists. PREFERRED: Experience and fast-ion physics modeling & simulation, or, turbulence simulation and/or transport
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socio-economic analysis, equipping them with advanced skills in reservoir modelling, machine learning, advanced oxidation processes, and microbial enhanced recovery. Candidates will also develop intuitive
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of the mathematical models of the patho-physiology and PK/PD of the pharmaceutical compounds of interest AI-based black-box optimisation AI-based synthesis of virtual twins of adrenal patients to simulate treatment
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designed to support your growth as a researcher, innovator, and engaged citizen, fully equipped to lead the next generation of responsible simulation science. See our website for more details (https