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Field
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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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on the development of new algorithms and methods that can be used to analyze large and complex scientific data using novel computer architectures such as high performance, neuromorphic, and quantum computing. We are a
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. Requirements: • Bachelor's degree in computer science or equivalent knowledge Desirable: • Knowledge and practical experience in areas such as algorithms, data structures, software engineering, artificial
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manual data processing and integrate warehousing; Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale clinical datasets Collaborate with data scientists
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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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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 Reliably detecting persons is crucial
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in the Center for Protein Design, you will be leading one or several research programs, spearheading computational design efforts to create proteins with new functions, developing AI methods
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Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
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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
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: 0493-25 We are seeking a Research Associate to join Lancaster Medical School and work on the “FeetSee” project funded through a project grant from the Next Generation EU Programme: Implementation