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, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across the landscape. The work will
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
of Engineering. Key responsibilities include the design and implementation of novel AI-driven goal-oriented semantic communication strategies, signal processing algorithms, performance optimization methods, and
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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Science Center (NOROCK) and Columbia Environmental Research Center (CERC) seek a postdoctoral fellow to be a part of the development, optimization, and implementation of scalable pipelines for environmental
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Join Our Team at Centre for Disruptive Photonic Technologies, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore A Research Fellow position is currently
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) & Harvard University (Departments of Biostatistics and Stem Cell and Regenerative Biology) is looking for curious, mathematically-minded researchers to push the frontier of AI and computational biology in
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to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process
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Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple
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for optimization, history matching, decision making, uncertainty quantification, etc Conduct geothermal assessments, as this is a hot field (> 150 C) The candidate can also suggest other objectives / research
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that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing