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Field
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how people estimate quantities. The project combines theoretical modeling with behavioral experiments to advance our understanding of the cognitive processes that connect our sense of magnitude with
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analysis. This digital transformation has also paved the way for innovations like AI-assisted morphological analysis. This project will research a self-produced AI model for automatically classifying plasma
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) lead market analysis, requirements gathering, and conceptual design; (b) optimise electromagnetic design of motor through simulations; (c) develop control algorithms and models; (d) guide
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researchers and students. Your role will include designing and conducting experiments, developing theoretical models, and supporting the characterisation of nanophotonic and quantum photonic systems. You will
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collaborating closely with researchers and students. Your role will include designing and conducting experiments, developing theoretical models, and supporting the characterisation of nanophotonic and quantum
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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modeling and simulation. Experience with simulation environments and tools used in space research (e.g., GMAT, STK, Gazebo, ROS). Experience with development or utilization of hardware-in-the-loop simulation
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and algorithm development, modeling machine learning, and scientific simulation Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists Strong oral and written
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software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and