56 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" positions at University of Twente in Netherlands
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Vacancies Assistant Professor Business Information Systems Key takeaways We are looking for a scholar who is passionate about impact-driven research & teaching. They are able to demonstrably bridge
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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn
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as teaching assistants in courses taught by department staff members. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below
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? Join our innovative project where simulated data and real hardware testing create innovative solutions. The work builds on our recent results . You will be at the forefront of developing advanced
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Technology group. Information and application Please submit your application before March, 1st, 2026 using the “Apply now” button, and include: curriculum vitae letter of motivation grades of the BSc and MSc
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19 Dec 2025 Job Information Organisation/Company University of Twente Research Field Computer science » Other Engineering » Computer engineering Researcher Profile First Stage Researcher (R1
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in practicals). Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before February 22 and should include your CV and
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, community-driven research software. Both institutions provide a full-time position each for the duration of 1 year, and both candidates will closely collaborate with each other and with data researchers in
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Exploiting the Geometric Landscape of Infinite-Dimensional Sparse Optimisation” led by Dr. Marcello Carioni at the University of Twente. More information about this here . Infinite-dimensional modelling has
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motivated PhD Candidate to strengthen our team. The position aims to use Earth Observation data to improve understanding and modelling capabilities to provide more reliable projections of future fire dynamics