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Field
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, spanning computational data analysis, community-based participatory research, community needs assessments, partnership-building, and related grant development opportunities. The successful candidate will be
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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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to Artificial Intelligence and Justice (m/f/d). The Institute of History and Ethics in Medicine (IHEM) is part of the School of Medicine and Health at the Technical University of Munich. At the Institute
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-Doctoral Researchers in Decarbonization, Carbon capture, utilization
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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 of research in
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scienceYears of Research ExperienceNone Research FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Degree : PhD in computer science, machine learning, or computational
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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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of the selection will be announced on the ELKE-UOC website: https://www.elke.uoc.gr/news Candidates have the right to submit an objection to the results within five (5) calendar days from the date of their posting
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition