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reproducibility and real-world relevance. The position offers opportunities to collaborate internationally and to publish research at leading machine learning and computer vision venues such as NeurIPS, ICML, ICLR
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PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning
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of machine learning, and/or ecological modelling. Excellent oral and written English language skills. Strong collaborative skills, team spirit and the ability to also work independently. Experience with field
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that aims to redesign how students learn programming through AI-driven, dialogue based, and pedagogically grounded tools. The PhD candidate will contribute to a cross-faculty collaboration spanning the TECH
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streams and generate data for analysis and model validation. The project is embedded in the international research projects BeyondBattRec and SpurUp, so you will collaborate with partners across
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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
rheology. The PhD student will also characterize the structure of the ABC star block copolymer samples using electron microscopy and possibly small-angle scattering techniques in collaboration with a postdoc
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artificial intelligence, architectural design, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire new skills and
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). The strategic focus of the department is to be leading within digital health and being well-known for medical doctors and engineers collaboratively developing solutions together. The department has
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design, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire new skills and technologies. Outstanding spoken and written
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for robot intelligence, with applications that naturally extend to marine and maritime domains. You will work closely with colleagues across the department and engage in strong collaborations with academic