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Field
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research in computational biology, single-cell ‘omics-based and multimodal machine learning (ML), and, for the candidate with appropriate skills, quantum computing algorithms and software for applications in
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data types such as dictionary, priority queues, matrices, and relations, foundation of recursive algorithms, complexity analysis, complexity classes, sorting and searching, computability and
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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The Oxford-GSK Institute of Molecular & Computational Medicine is a multidisciplinary programme aiming to improve tools in, and knowledge from, genetics, genomics, molecular and single cell biology
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, establish advanced manufacturing routes for these polymers and implement computational algorithms to assist their optimization. The RISE Polymer Lab is dedicated to developing the next generation of robust
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at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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AgriLife Texas A&M AgriLife is comprised of the following Texas A&M University System members: As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and
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program in AI, Deep Learning, and machine learning applications for climate science. This research position will advance cutting-edge approaches to climate prediction, extreme event detection, and seasonal
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software