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Field
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-scale data sets, especially using performant algorithms. Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks
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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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talented and dedicated employees. Applies advanced computational, computer science, data science, and software research and development principles to perform complex distributed computing architectural
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collection methods for external data (e.g. web scraping) to collect data for use in modelling and analysis. Develop analytic plans, engineer supporting algorithms, write new functions or applications in
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an extensive safety analysis and calidation of perception algorithms in automotive. Through our work, we lay the foundation for a reliable digital future. What you will do Quantum computing is an emerging
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Research Engineer in optimization and Design Space Exploration for Next-Generation Computing Systems H/F IN SUMMARY, WHAT DO WE OFFER YOU? We are looking for an Research Engineer in optimization and
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, collaborating with biologists, oncologists, statisticians, and other computational/ML scientists to translate computational findings into therapeutic strategies.-Design, debug, and optimize algorithms and
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of Public Health Minimum Position Qualifications Bachelor’s Degree in Information Systems, Computer Science or a relevant area and two (2) years of appropriate experience to include experience for web
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programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre for Translational Informatics
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Applied Machine Learning: Knowledge of integrating machine learning models and algorithms into applications. • A knowledge of applied computer science and AI in software/app development and rapid prototype