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Europe | about 2 months ago
manufacturing, development of machine learning algorithms and design of optical communication networks or power consumption and energy saving. The synergies of MATCH consortium act together to enable the thirteen
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About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
pipeline into production, working with a team of scientists to develop, implement, and deploy cutting edge algorithms and approaches to astronomical difference image analysis, image resampling and
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differences or random direction stochastic approximations, offer general-purpose strategies that only rely on function evaluations. While conceptually simple, zeroth-order methods tend to scale poorly with
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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, including, but not limited to, the following areas: Entertainment media Artificial Intelligence (AI)-related technologies, such as social robots, generative AI, recommendation systems, and algorithms Social
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waveguide setups and development of PCBs for reconfigurable intelligent surfaces (RIS).; 2. Implementation, testing, and optimization of RIS control algorithms on microcontroller-based platforms.; 3
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, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check. Design and prepare materials and courses for training on various bioinformatics software and
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population detection, and functional assays (e.g., proliferation, apoptosis, intracellular cytokines). Perform sample preparation from different tissues, including tumor, blood, and bone marrow, and
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variants of importance sampling. We will connect these methods to modern formulations of Monte Carlo algorithms to improve their accuracy, scalability, and overall computational cost. The methodology so