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for one year and may be extended, subjected to performance and availability of research funding. Key Responsibilities: Develop state-of-the-art and innovative models and algorithms to improve port and
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1. HCI Research & Design • Design user-centered interaction systems • Develop interfaces for multimodal prompting (voice and text) • Enable intuitive control of spatial layouts, narrative
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-doctoral candidate will be involved in both in vitro and in vivo research using animal models, primary, and immortalized cell culture models, molecular and cellular techniques, immunofluorescence, and
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, to develop solutions for predicting risk in international-scale financial markets. The project is developing event-triggered artificial intelligence approaches that complement existing financial risk models
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-resolving detection, integrated electronic boards for control/readout, hybrid cryogenic electronics, biasing, amplification, thresholding, digitization, and detector-array performance benchmarking
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develop power electronic systems, including converter topologies and control strategies. Perform simulation and modelling using tools such as MATLAB/Simulink, COMSOL, ANSYS, or equivalent. Conduct
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, separations, purifications and formulation applied to pharmaceuticals manufacture; modelling of processing steps and whole processes to support innovation, design, optimisation and control for manufacturing
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, econometrics models) applied to economic modelling. Preferred Factors: Will be considered preferred factors: • Excellence of academic background (namely regarding the courses' component of the doctorate program
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1. A Ph.D. degree in Aerospace Engineering, Fluid Mechanics, Applied Mathematics, or a related discipline. 2. Demonstrated expertise in turbulence modelling and compressible
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valuable for producing reliable climate projections, whether certain weather systems are fundamentally harder to model with machine learning than others, and whether we can develop emulators that can be