1,754 data-"https:"-"https:"-"https:"-"https:"-"University-of-Aberdeen" Fellowship positions
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learning difficulties in young children. The position involves supporting the day-to-day coordination of the project, conducting data collection with children, and contributing to the development of machine
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information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences, and publication list One educational or professional recommendation All
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study development, execution, and dissemination. This role offers hands-on exposure to study design, regulatory processes, patient-facing research activities, data analysis, and scientific publication
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assist the project leader in the research project – “Smart Holistic Insurance Enhancement using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning
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, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically
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study at Harvard University. For information about eligibility and selection criteria and application open and closing dates, see: The Frank Knox Memorial Fellowships. The information listed here is
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
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Department of Data Science and Artificial Intelligence Research Fellow / Research Associate / Research Assistant (Full-time / Part-time) (Ref. 260319012) (1) Research Fellow (Full-time / Part
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to advance intellectual exchange. For information about eligibility and selection criteria and application open and closing dates, see: Application | Society of Fellows in the Liberal Arts (princeton.edu
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). Demonstrable familiarity with technology translation,commercialisation of research, or similar entrepreneurial activity. Experience in method development, validation, and quantitative data analysis. Experience