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orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful
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; Knowledge of Machine Learning; Knowledge of mobile application development; Ability to interpret results and analyse data; Experience or motivation to join working groups and research networks. Workplan and
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open PhD positions throughout the year. Learn more about PhD opportunities at the Hertie School and the relevant application deadlines here . Further information on the application procedure can be found
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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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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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submitted by the PhD route (you can apply through HR too if you decide to submit both applications, but we need all candidates registered through King’s Apply): https://apply.kcl.ac.uk About You Essential
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methods at the intersection of statistics and machine learning. Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of the research work
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optimization is essential. Where to apply Website https://www.academictransfer.com/en/jobs/359385/phd-on-multidomain-system-topol… Requirements Specific Requirements A master’s degree (or an equivalent
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on research focused on securing systems and addressing data privacy and security challenges in machine learning. About You To be successful for this position, you will have: Demonstrated ability to prepare and
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic