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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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                , disability studies, (co-)design methods, and Human-Computer Interaction (HCI). The ideal candidate is passionate about creating socially impactful inclusive co-design methods and eager to collaborate directly 
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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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                design (primary); and communication/computing systems (secondary). Prior research experience and publications are a plus. Excellent academic results (First-class honors or equivalent). Enthusiasm 
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                / help our technicians on the design and fabrication of electron-optical components, which depending on the final design, may be realized using MEMS technology, conventional precision machining, or a 
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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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                decisions surrounding future applications of NLP. Candidate profile An ideal candidate would typically be: A graduate with a strong degree in a relevant field (computer science, linguistics, design, HCI, law 
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                First Stage Researcher (R1) Country Finland Application Deadline 28 Nov 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme 
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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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                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