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://www.academictransfer.com/en/jobs/359394/phd-in-multi-modal-ai-for-uav-b… Requirements Specific Requirements A master’s degree in Electrical Engineering, Computer Science, Artificial Intelligence or in a strongly related
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The Center for Interdisciplinary Cardiovascular Sciences (CICS), directed by Masanori Aikawa, MD, PhD, at Brigham and Women’s Hospital and Harvard Medical School is seeking a postdoctoral research
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Science Programs, and MS in Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
adaptive protocols and solutions. The research associate will contribute to building up the newly founded Secure Mobile Systems Group. Where to apply Website https://networks.imdea.org/job/phd-position-in
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language of this project is English, and the candidate should be proficient in written and spoken English (also at teaching level). Requirements are listed here: https://set.kuleuven.be/phd/applicants
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 19 days ago
of enrollment at a PhD which must be presented at the time of contract signature; v) motivation letter; Applications must be submitted at https://welcome.isr.tecnico.ulisboa.pt/opportunities/ Where to apply
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, energy consumption, and packet loss. The use of distributed machine learning provides a relevant solution to mitigate the lack of communication reliability [3][4]. This PhD proposes to guide the learning
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soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and rehabilitation. The successful applicant will have the following technical experience in: PhD degree in
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referencia. Habilidades de programación en Python y plataformas de aprendizaje profundo como PyTorch. Habilidades de comunicación oral y escrita en inglés. PhD degree in computer science, electrical
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in its excellent research capabilities in areas including automotive mechanical and electrical design, data management, life cycle sustainability management through technology and materials innovation