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systems and digital twins with multi-modal sensing and AI, aligned with agronomist-defined needs. Participate in integration and field testing with Robotic Intercropping partners. Design software
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: Develop an individual PhD research topic by selecting and, where appropriate, combining research directions in software engineering, security, verification, and AI. Possible topics include software
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Sciences is looking for a full-time (100%) doctoral scholarship holder in the field of Artificial Intelligence and Software Engineering. Position Research You will actively work on the preparation and
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The Center for Industrial Software (CIS) at the Maersk Mc-Kinney Møller Institute , University of Southern Denmark , invites applications for a three-year PhD position in Responsible AI in Software
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SD-26140- RESEARCH ENGINEER — GEOSPATIAL SOFTWARE, GEOAI AND DIGITAL TWINS FOR SUSTAINABLE TERRIT...
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content SD-26140- RESEARCH ENGINEER — GEOSPATIAL SOFTWARE, GEOAI
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden-Württemberg | Germany | 2 months ago
Software Developer / Computer Scientist (m/f/d) specialised in AI and Machine Learning EDV & Informatics Heidelberg Astronomy & Astrophysics Job Code: 421 Job Offer from August 01, 2026 The Max
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-efficient, grid-interactive resource. This is a software systems role: you will be the technical integrator of the network. The 15 PhD projects span grid control, cooling, accelerators, forecasting
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. Appropriate college coursework may substitute at an equivalent rate for the required experience. Preferred: A bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related
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Primary supervisor Xiaoning Du Research area Software Engineering Over the past decades, we have witnessed the emergence and rapid development of deep learning. DL has been successfully deployed in
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Primary supervisor Xiaoning Du Research area Software Engineering Over the past decades, we have witnessed the emergence and rapid development of deep learning. DL has been successfully deployed in