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stochastic differential equations (SDEs); Extending recent quantum simulation techniques to accommodate non-physical processes found in generative diffusion modeling; Demonstrating a prototype of the quantum
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. The Variational Quantum Eigensolver (VQE) is one such optimization algorithm that helps determine the total energy of molecules. In the NISQ era, simulating molecules with more than 16 qubits is a hard problem
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computational simulations in the area of density functional theory (DFT). The role will focus on understanding and predicting the properties of novel functional materials, including surfaces and interfaces
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chemistry, conducting simulations, collaborating with experimentalists, and publishing in reputable journals. Key Responsibilities: Conduct research related to machine learning theoretical energy chemistry
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Responsibilities: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety
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of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also
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optimization of a personalized cooling system by simulating various geometries, materials, and thermoelectric module configurations using COMSOL. • Develop and execute parametric studies to evaluate system
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of mechanics, acoustics, design optimization, and advanced manufacturing. The key responsibilities of this position include: Perform numerical simulation to solve structure-acoustic problems Perform design
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simulation, and real-time sensing—paving the way for next-generation human-relevant testing systems in drug discovery, toxicity screening, and precision medicine. Key Responsibilities Design and develop micro
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fabrication. Familiarity with in-situ characterization and theoretical simulations. Familiarity with FET device fabrication and characterization. Strong record of publishing in high-impact, peer-reviewed