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Scientific Computing and Model Analysis, Institute for Theoretical Sciences, Westlake University Appl Deadline: none (posted 2024/11/25) Position Description: Apply Position Description Group Introduction
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processing 2. nonequilibrium physics of molecular machines 3. understanding the role of phase-separated condensates with quantitative models 4. Modeling multicellular systems in mechanobiology 5. AI assisted
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, computer science, or related fields. o Strong background in quantum algorithms, error correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling
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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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Environmental Simulation and Modelling, and Laboratory for Ocean and Atmospheric Research - support collaborative research. Successful candidates will utilize advanced facilities and technologies to conduct
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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electromagnetic simulation techniques and incorporate the characteristics of new materials to design motor structures, and perform multi-objective optimization aimed at enhancing motor efficiency, power density
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, brain science, and neuroscience); data science and machine learning; modeling, analysis, simulation and prediction for biological, engineering, physical and quantum systems; probability theory and
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Simulation of Materials. This includes either experimental synthesis and characterisation or computational materials modelling of advanced materials. Current Position: Candidates currently holding the position
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in