64 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FIIB-HUIS-HUHEN" positions at University of Twente in Netherlands
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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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perspectives in psychology, education, computer sciences, law, and philosophy. Four WPs address citizen-empowerment-scenarios (CES) in healthcare, mobility, public governance, and healthy living. Each PhD
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Vacancies Assistant Professor in Cardiovascular & Respiratory Physiology Key takeaways Are you driven to connect cutting-edge physiology, data science, and clinical practice? In this position, you
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Digital & Data-Driven Workflows Developing standardised, traceable data acquisition and processing workflows. Contributing to an evolving “digital lab manual” with scripts, procedures, and guidelines
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on the topic of model-based testing. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before June 1 2026, and include: A Curriculum
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flow. You will then assess the method’s validity under real atmospheric conditions using a combination of LiDAR data and Large Eddy Simulation (LES) results. Key Responsibilities: Develop and refine
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evaluation of multi-disease tests, and test this using AI applications in radiology as a practical case study. Information and application Please submit your application using the “Apply now” button, and
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-traced models of the structures, based on STL files, 3-D voxel data and other input. You work closely with the rest of the team to integrate your models with the microscope hardware and GUI, with advanced
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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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. Collaboration & Mentoring: Work closely with the project’s EngD researcher, providing the LES-generated data and expertise needed for the development of LiDAR-assisted forecasting methods. Methodological