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applicant: has a PhD degree in electrical, computer or biomedical engineering, computer science, data mining/machine learning, or a closely related area. has demonstrated the ability to perform independent
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theoretical physics, quantum computing, or machine learning and have completed or be in the final stages of a PhD in this or a related discipline. Main duties and responsibilities Design and analyse quantum
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, you will work to develop and implement machine learning approaches to identify lakes and lake drainage behaviour, and to deploy these workflows at scale. Based at Lancaster University, you will join our
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, machine learning and quantitative text analysis at both undergraduate and postgraduate level is highly desirable. The Department is seeking to appoint an individual with vision and enthusiasm and a genuine
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machine learning and artificial intelligence. The successful candidate will support teaching on a new postgraduate MSc in Data Science with Machine Learning and AI, as well as more general teaching
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Machine learning for networks and systems Systems for machine learning Edge computing and applications Networked systems design and experimental evaluation Network measurement Network security Ability
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Associate (Interdisciplinary Humanities) Call for Applications (Cornell PhD candidates and recent Cornell PhDs) Eligible applicants for this search are Cornell University PhD candidates and recent Cornell
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: Master’s degree or PhD in computer science, statistics, information systems, or related field and four years of relevant experience. Advanced knowledge of machine learning libraries and frameworks (e.g
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professionals for military, security, and civilian technical fields. Guided by values such as discipline, integrity, and pursuit of excellence, the College is committed to lifelong learning, innovation, and
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. Candidates should have completed or be nearing completion of a PhD in climate and ocean sciences or related disciplines with training in using machine learning tools, such as CNNs and CENs. The search will