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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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of continuous service.We also offer an abundance of training and development programs through our Dare to Learn Academy, and the employee assistance program, many of which are offered free of charge. Recruitment
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Experience teaching in UK higher education or developing professionals in a UK context Strong communication skills and a student-centred approach to learning Ability to contribute to research and/or knowledge
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900
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options are NOT available for this position at this time. The Research Associate Data Scientist participates in biomedical research projects using programming, data - mining, statistics, machine learning
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Resources Management (PHR or SPHR) Preferred Computer Applications: Microsoft Project, SAP, Microsoft Publisher Preferred Other Computer Applications: NA Preferred Additional Knowledge, Skills and Abilities
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Additional Knowledge, Skills and Abilities: Strong problem solving capability and the ability to learn complex content quickly for application to grant seeking and development. Ability to coordinate resources
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to knowledge in one or more of the following areas: machine learning, cybersecurity, or computer systems Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 30 days ago
collaboration with L. Bonati at IIT Genova, who developed the library mlcolvar, https://github.com/luigibonati/mlcolvar ). 2) Compare the data-science dimensional reduction approaches above, with machine learning