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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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to complete a PhD on the multiple and contested practices, norms, and understandings of GenAI among academic users in their research and publishing activities. The scholarship is part of the Generative AI and
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will work with a comprehensive dataset spanning multiple seasons of elite competition, featuring team KPIs, individual player and ball GPS tracking data, and player wellness information. The project
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research on the subject described above with the objective of achieving a PhD in Computer Science Engineering. This includes writing high quality publications, targeting top journals and international
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monitoring. These applications rely on remote sensors to capture PCs and wirelessly transmit them to edge servers for downstream tasks, such as registration, i.e., aligning multiple PCs within the same 3D
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Attributes and Behaviour Ability to negotiate and prioritise multiple, competing responsibilities and to work to deadlines Be open to new ideas, and welcome different perspectives and new ways of thinking
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, mathematics, computer science are passionate about transportation research with a good grasp on the fundamentals of transportation systems optimization possess excellent research, academic writing, and
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with
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meromorphic functions is connected, and that each component of any attracting basin contains only finitely many critical points, counting multiplicity. Is the Julia set locally connected (again in analogy with