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of disasters? Do you have a PhD research proposal related to this topic, or can you develop one this month? If the answer is yes to these questions, then this PhD funding opportunity for the programme of
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the ANR SyncoGest project
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opening a call for the award of 1 (one) research scholarships in the field of Information Management, for PhD students programme, under the Research Scholarship Regulation of NOVA University of Lisbon and
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technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things, chip design, cybersecurity, human-computer
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or equivalent Skills/Qualifications PhD in Telecommunications Engineering, Computer Science, or a related discipline. Please note: A PhD is a mandatory requirement for this role. Candidates not holding a PhD will
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, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture in New York City and in
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) Positions PhD Positions Application Deadline 20 Mar 2026 - 18:00 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme
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about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy of The University of Texas
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Insurance Voluntary Auto and Homeowner’s Insurance Voluntary Pet Insurance Voluntary New York’s College Savings Program Please be sure to read the Notice to Applicants found on the Jobs with CCE page: https
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness