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processes based on mobile digital technologies increase, so do the amount and severity of cyber threats. Both defenders and attackers are now using Machine Learning (ML) and Artificial Intelligence (AI
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presentations, and the drafting of the dissertation. The program's primary goal is to prepare candidates for a career in international academe. For further information about the PhD program, please visit https
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
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dissemination, and translational opportunities Job Requirements: PhD in Chemistry with a focus on computational/peptide/organic/machine learning or a closely related discipline At least one first-author
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Degree PhD Learning Sciences (alternatively Dr phil, Dr rer nat, Dr med; not recommended for international students) Course location München Teaching language English Languages Courses are held
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 27 days ago
the department and teach courses if they choose to do so. Education and Experience: Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in
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Computational Biology, Theoretical Ecology), Statistics, Machine Learning and Data Science, and Theoretical Computer Science are especially encouraged to apply. The School has five divisions: Biological and Life
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Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college, provides a culture of
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schools, doctoral supervision, and software outputs central to the Centre’s mission. About You You will have, or be close to completion of, a PhD/DPhil in Statistics, Machine Learning, Data Science, or a
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intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data