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Application Deadline 12 Nov 2026 - 07:52 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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optimization of QML algorithms Noise mitigation in relation to optimization algorithms Other closely related topics Your profile Master's degree in computer science, physics or a related field Advanced knowledge
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Application Deadline 14 Nov 2026 - 03:47 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Application Deadline 30 Oct 2026 - 10:18 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Large vision–language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events that are not present [Liu24,Liu25]. In a safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are...
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profile described below? Are you our future colleague? Apply now! Education PhD in Computer Science with a focus on AI and/or cybersecurity Experience and skills 1-2 years of post-PhD research and
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, Financial Technology (Fintech), Energy Informatics, Energy Economics, and Consumer & Behavioural Research. In particular, they will be integrated into a larger research team and collaborate with team members
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Application Deadline 29 Sep 2026 - 09:40 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50
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5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft