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2 Nov 2025 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for DATA Research Field
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analogue materials. Develop computational approaches to investigate high-dimensionality isotopic properties in organic compounds. Contribute to the design and build of novel analytical instrumentation and/or
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; - Background in Electrical Engineering / Computer Engineering / Mathematics and expertise in Artificial Intelligence and Machine Learning, Electronic Design Automation or Analog and Radio Frequency IC Design are
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relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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authorities. École des Ponts ParisTech, in accordance with its strategic plan, develops a long-term research activity in the field of Machine Learning and Computer Vision. The IMAGINE team is a renowned
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the WASP NEST SOURCE (Secure Operation of Uncontrolled and Reliable Computing on the Edges) coordinated by Lund University. You will be a WASP PhD student and be part of the WASP Graduate School including
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject, RAI, at the Department of Computer Science and Electrical and Space
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and
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program unless research training is the primary focus. Ready to Make a Difference? Apply now and help us build a stronger, smarter, and more connected future. Duke is an Equal Opportunity Employer committed