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--- Tennis Facility Student Assistants Need to Fulfill the Following Duties: Answering phones Working with copy machines Using Word and Excel Addressing envelopes Communication is a key component of this job
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others. To view more information about our benefits, please visit https://cnu.edu/hr/benefits/ . Role Code 79032 Conditions of Employment This is a classified position. New and returning classified
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Research Assistant (PhD student
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Overview: 1 x Full time, ongoing position available to join the School of Computing Technologies, Discipline of Data Science and Artificial Intelligence Salary Academic Level B ($115,303 - $136,925
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, ensuring security and stability of the distribution grid. The SAILING Doctoral Network aims to train 12 next generation scientists in creating an intelligent and automated energy management system powered by
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cyberattacks) on the Internet of Energy concept within the distribution grid. The SAILING Doctoral Network aims to train 12 next generation scientists in creating an intelligent and automated energy management
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 7 days ago
complexes. The PhD will be carried out within the newly created Inria project-team DELTA at the Inria Center of the University of Lorraine, focusing on computational biology and artificial intelligence
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Microsoft 365 (Word, Excel, Outlook, Teams, etc.) Experience in office administration, event planning, or research is a plus Notes to Applicant Work Schedule: Up to 20 hours per week Must be available during
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of artificial intelligence (AI) to join our research and innovation team. The candidate will contribute to designing, developing, and implementing advanced AI/ML solutions to support ongoing scientific
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using advanced Artificial Intelligence (AI) techniques. Preliminary work conducted at the Bessans site in the Haute-Maurienne region has demonstrated the feasibility of detecting and identifying avalanche