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Field
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distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable solutions. Project description E2PACKMAN is a €93.7 million European
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engagement with industrial partner (e.g. in terms of data collection and development of practice). The doctoral project As AI becomes embedded in everyday work, employees increasingly interact with AI agents
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methodological foundations of medical deep learning and develop next-generation foundation model architectures for precision medicine. Self-supervised objectives like masked autoencoders and joint-embedding
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 21 hours ago
, chemistry, or a related scientific or technical field. If you are passionate about this intersection of AI and Life Sciences, we encourage you to apply! https://phd.aithyra.at/application-guidelines
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surveillance systems. To achieve this goal, we are looking for an enthusiastic PhD researcher who will focus on bringing face-swapping algorithms to off-the-shelf embedded platforms. The work will involve
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of AI/ML into application and system software. Join a high-impact research team and help shape the next generation of dependable, efficient embedded systems. Learn more and get in touch: https
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technologies. The goal of this project is to find a reliable packaging technique for silicon chips with embedded microfluidic channels that does not involve the use of glue or elastomer seals. The project will
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position is embedded within the PROMETHEUS project: PROstate cancer Multimodal Explainable Transferable Holistic Expert for Universal Stratification. PROMETHEUS aims to develop a comprehensive AI "super
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environment within the Plasma & Materials Processing group, embedded in TU/e’s strong Brainport ecosystem, as well as tightly connected to other academic partners and industry through national research
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for databehandling Utløpsdato: ett år Navn: _vid_t Leverandør: .jobbnorge.no Databehandlingsansvarlig: Microsoft, ASP.NET Formål: Støtter integrering eller "embedding" av en tredjepartsplattform på nettsiden