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Field
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manufacturing of the die/mould with multiscale smart surfaces for high pressure die casting purposes. High precision CNC machining: tooling, toolpath simulation, CAD/CAM, and implementation perspectives
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their impact on global plasma confinement Assess the effect of geometry on plasma confinement and behavior of turbulence Build-up a comprehensive database based on these simulations and analyze data Job
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). Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, phase-field simulations). Proficiency in Python, TensorFlow/PyTorch, and scientific computing. Experience in
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or other research techniques. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided
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on advancing the integration of gene regulatory network (GRN) simulations into multicellular and tissue-level systems using machine learning—particularly graph neural networks (GNNs) and reinforcement learning
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interactions during structured discussions, team-based simulation sessions or problem-solving tasks to long-term collaborative work on open-ended projects. Often, collaborative work or tasks are supported
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experience at the time of application; (b) have experience in InSAR applications for landslides and reclamations, PolSAR/PolInSAR for vegetation mapping, finite element analysis, numerical simulation, machine
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quantum optics simulation via MATLAB, COMSOL, Lumerical, etc., and understanding of health and safety regulations related to laboratory environments. Please include responses to the following questions as
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to appoint one or more postdoctoral fellows beginning in Summer 2025. We are looking for candidates with interests in the use ultracold quantum gases on optical lattices to simulate models from condensed
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; NTU, SIT and IHPC (A*Star). The project aims to use simulations and digitalization to guide the development and production of cells encapsulated scaffolds for the cultivated meat research. We