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specific scope. Academic experience counts. Familiarity with required scope (e.g. national codes and standards) Good written and oral communication skills (if applicable) Proficiency in probability theory
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, NeurIPS, ICML, ICLR, and etc. Experience in interdisciplinary studies of deep learning, mathematics, and physics is preferred. Strong theoretical background in quantum learning theory, quantum many-body
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role will focus on nanophotonics theory and modelling. Key Responsibilities: The Research Fellow will work on a project to conduct the research on development of nanophotonic structures for quantum and
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systems, MARL, Game Theory. Strong background in Mathematics and modelling. Good English writing and communication skills for research work. Proficiency in Python, experience with PyTorch, NumPy, and
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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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, information theory or relevant field. 5 years of experience in software engineering, system development Be familiar with at least one of the following programming languages: C/C++, Python, Java Good
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of contributing to peer-reviewed publications in healthcare or biomedical research. Good foundation in statistical theory, methods, and application to real-world datasets. Possess strong analytical thinking and
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to contribute to the design and dissemination of research studies, delivery of educational sessions and training offered by the BISI team, and mentoring of BISI researchers and students. Theory development
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Communications Engineering programme. The learning objective is to provide students with a good understanding of the fundamental principles underlying the theory of wireless communication systems, advanced
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Research Associate to contribute to a project focused on robust Bayesian inference with possibility theory. Robust inference is crucial for many real applications in which datasets are invariably corrupted