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Field
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-economic analysis and life cycle assessment methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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, model and simulate physical processes, and engage in productive discussions with theoretical quantum physicists. Demonstrated programming skills for data acquisition and processing, e.g., Python, Matlab
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. The Biophysical Modeling group focuses on the modeling and simulation of complex systems that arise in biology and soft condensed matter physics. Areas of interest include the dynamics of complex and active
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collaborating with industry partners on a project aimed at developing kinetic Monte Carlo simulations to model epitaxial growth processes. The goal is to control and optimise the growth of nanoscale structures
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simulation models, digitalization allows for the development of next-generation batteries by providing insights into complex internal processes, enabling manufacturers to innovate faster and adapt to growing
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on spatial transcriptomics Proven ability to develop and optimise spatial biology pipelines Expertise in multi-omics data integration and statistical modelling Teaching and mentorship experience Excellent
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applications in healthcare. Duties and Responsibilities Develop AI/ML Models: Create models for neuroscience and neuromorphic computing. Simulate Brain Systems: Model brain molecules, cells, and circuits
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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digital simulator from RTDS Technologies for generation and transmission systems modeling. A comprehensive set of SEL equipment for distribution system testing, including SEL-3555 RTAC, SEL-451, SEL-351
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the growth of the company. The need is to develop significantly larger system designs and simulations and to embed the added knowledge into the business as a legacy capability to reduce the reliance