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Responsibilities: To conduct independent research in deep learning theory. To produce publications in top conferences and journals. To offer guidance and assistance to any students involved in the project
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cities), urban liveability and inequality, and/or novel approaches to urban theory development. We also welcome applicants trained in Data Science/Analytics, Computer Science, Geographical Information
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the growth and development of students’ 21CC; and (3) To build a foundation for a theory of transference of learning and skills across domains by exploring the potentials of AIIBL for cross-disciplinary
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investigator Ryan Chisholm from biology and co-investigators Ben Blumson and Shang-Long Yeo from philosophy. Applications from candidates specialising in philosophy of biology, ethics or game-theory
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broadly defined areas of Strategic Management, International Business, Organizational Theory (Macro), Environmental Sustainability and CSR, and Technology Management and Digitalization. We expect candidates
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electromagnetic phenomena, using languages such as C++ and Python Collaborate with senior researchers to formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and quantum
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engineering, especially antenna theories and transmission line theories EM simulation software (e.g., CST) Testing and characterization of RF/microwave devices or components Research or design experience on WEH
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theory and methods. Possess strong analytical and problem-solving skills. Able to communicate well with clinicians and statisticians, both verbally and in writing. Prior experience in teaching courses and
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to, urban sustainability, urban systems and infrastructures (including smart cities), urban liveability and inequality, and/or novel approaches to urban theory development. We also welcome applicants trained
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as well as evolving contemporary practices. Practical and technical skills supported by critical and conceptual theory, encompassing the diverse approaches to design throughout all aspects