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application will receive fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer
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and developing dependable automated driving systems based on software and systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer
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Deadline 1 Dec 2025 - 18:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not
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Deadline 1 Dec 2025 - 18:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 2 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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immediately can contribute to the topic. Applicants should have a background (MSc and BSc degrees) in Computer Science or Sofware Engineering and a demonstrated ability to work independently as well as in a
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8 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Design
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internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments. Click here to go to the website of the Faculty of Technology, Policy and Management
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of mobility networks, estimation of acceptance of mobility policies preparation of publications for submission to top-tier NLP, AI, or traffic engineering venues contribution to teaching and/or local BSc. /MSc
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the library of patents of the group. Contact person with collaborators and contribute with international experience to enrich the network of collaborators of the group. Requirements for candidates: Essential
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap