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support research works in COEB. The role will focus on developing the thermal nanophotonics, focusing on thermal radiation theory at nanoscale. Key Responsibilities: The Research Fellow will work on a
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activities as required by the school. Key Responsibilities: Develop, refine and implement Machine Learning and AI algorithms for real-world and media-related (e.g., video games) applications. Conduct
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Maxwell’s equations – strong foundations in quantum electrodynamics (QED) are a significant bonus. The role of SRF will focus on developing ab initio theory and developing software to describe and study
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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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efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, etc. These positions would be especially relevant for those with a
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Programming skills. Strong expertise in control theory. Strong publication track record. Self-Motivated and takes initiative Independent and can work well with a team Ability to adapt to changing priorities
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, Julia. Understanding of one or more of the following areas would be an advantage Optimization Dynamic systems Control theory Power electronics Signal processing Machine learning and data science (various
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: • PhD degree in Water Resources Engineering or related field • Familiarity with MATLAB, Python, ArcGIS, network theory, statistical analysis etc. • Good written and oral
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to educational contexts Understanding of learning theories, instructional design, or pedagogical innovation in higher education Experience with learning platforms, learning analytics, or educational research tools
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on progress and report writing Job Requirements: PhD degree in chemical engineering or closely related field Good understanding of LCA and TEA theories and calculations Experience on ASPEN-HYSYS and LCA