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algorithms for robotic learning, including reinforcement learning, to enable adaptive and intelligent behavior in real-world scenarios. Applicants should have (i) a Ph.D. in Computer Science, Electrical
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input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solution for application development tasks. (Verify
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10 years of research experience. Proven track record in research and development of algorithms. Proficiency in algorithm development and programming skills using MATLAB or Phyton. Knowledge of machine
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. Key Responsibilities: Conduct research and development of AI/ML algorithms, including Reinforcement Learning and multi-agent decision making, for advanced ATFM concepts. Perform data mining, data
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supercomputer in the UK and amongst the most powerful in Europe. The AI Supercomputing team owns the entire process of developing and operating the centre’s compute and software infrastructure, which includes
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(morphological patterns), based on the experts’ knowledge. Then, tools like Procrustes analysis, linear dimensionality reduction (PCA) and standard clustering algorithms are employed. A first objective of our
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of Computer Engineering subareas, which may include computer programming, algorithm design, digital logic design, computer architecture and robotics. Excellent written and oral communication skills
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, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a closely related field. ● 5 years of experience (strong expertise) in data analysis and machine learning
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COMPUTATIONAL SCIENTIST ASSOCIATE - (T226590) Description We are seeking a talented and motivated Computational Biologist Associate to join our team in developing the CHARM (Collecting, Harmonizing
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, Computer Science, Engineering, Public Health, Digital Media and Art, Education, Psychology, Sociology, Geography, Languages and Literatures, etc. We expect a successful applicant to be a transdisciplinary