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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
pending funding and performance. Minimum Education and Experience Requirements PhD in Computer Science, Computing, Statistics or Data Science, or related disciplines Required Qualifications, Competencies
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advantage. You should have a university degree at PhD level in the field of economic sciences, finance / accounting / management field , or systems engineering, computers and information technology, systems
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of equitable and inclusive AI technologies in the Arab region. Applicants must have a PhD in Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record
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should possess a PhD in Computer Science or related area. We are looking for candidates who have publications in top conferences like NeurIPS, ICML, ICLR, CVPR, etc. A strong background in deep learning
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or
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microscopy, flow cytometry, and Western blotting. Computer proficiency in Microsoft Word, Excel, Powerpoint. Familiarity with computer languages is desirable. Experience in Virology, mass spectrometry
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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically
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computational semantics methods * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. Should the successful candidate
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your