Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
application process here. About the position The PhD research project is part of the new Norwegian Maritime AI Centre, led by NTNU. Digitalization and AI are transforming society at an unprecedented pace
-
research and teaching and are eager to contribute to a vibrant academic community. We are specifically looking for candidates in each of the three following broad areas: Digital Twins in Mechanical
-
YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The PhD research project is part of the new Norwegian Maritime AI Centre, led by NTNU. Digitalization
-
.ICDT (https://doi.org/10.54499/2023.16314.ICDT ), funded by the Portuguese Foundation for Science and Technology (FCT), I.P., in the following conditions: Type of Grant: Research Grant for a PhD student
-
and opportunities as they arise and helping organisations to look ahead and shape our digital future. SCEBE works across a spectrum of fields of computer technology including smart sensors & networks
-
PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
-
collection, data engineering, statistical modeling, or computational text and image analysis; Machine learning, natural-language processing, large language models, or evaluation and auditing of AI and online
-
leading to a PhD degree Conduct high-quality research within robotics, mechatronics, and product development Design, prototype, and experimentally validate robotic and mechatronic systems for automated
-
-inspired computing paradigm with the potential to drastically reduce energy consumption while enabling faster inference than conventional digital architectures. A major challenge, however, is the development
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
retrieval: reconstructing the original digital data from the sequenced symbols. This PhD project focuses on the first and fourth challenges, by developing joint compression and error-correction algorithms