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the range of $80,448.78 - $107,104.10 + 17% Superannuation (Academic Level A) Based at our St Lucia location About This Opportunity We are seeking a highly motivated Postdoctoral Research Fellow to join an
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quest of discovering principles of natural adaptive computation and fundamental understanding of cells – the building blocks of life we use a blend of computational, experimental, and theory-driven
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Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data-intensive research
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photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. Join the laboratory of Bei Xiaohui at SPMS. We are seeking
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 16 days ago
deep learning theory and practice. Applicants with expertise in probabilistic modelling, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine
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generated) and/or public understanding of the discipline or similar Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Develop research objectives and
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[map ] Subject Area: Number Theory and Representation Theory Appl Deadline: none (search halted posted 2025/04/04, updated 2025/04/03) Position Description: Apply Position Description Postdoctoral
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better preserve the cultural memory of these struggles. To be successful in this role, you should have: A PhD (or an equivalent level of professional experience) in an area of history, theory or practice
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, mirror symmetry, geometric topology, dynamical systems, algebraic geometry, number theory, and mathematical aspects of quantum field and string theory. IBS-CGP is located on the campus of Pohang University
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and