83 designer-"https:" "https:" "https:" "https:" Postdoctoral positions in Netherlands
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- Delft University of Technology (TU Delft)
- Leiden University
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Utrecht University
- Maastricht University (UM)
- University of Groningen
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- European Space Agency
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Wageningen University & Research
- ARCNL
- Erasmus University Rotterdam (EUR)
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University
- Universiteit Leiden
- University Medical Centre Groningen (UMCG)
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Challenge-Based Learning (CBL) environments. You will be embedded in the Department of Industrial Engineering & Innovation Sciences (IE&IS) and form the technical core of the CLARA consortium, which brings
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research groups within The Netherlands, and many prominent labs abroad. You can find more information about the Faculty of Science at https://www.universiteitleiden.nl/en/science/about-faculty-of-science
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towards deep, large-scale analyses of STM evolution and action. The focus will lie on a range of arthropods, molluscs, and chordates, with the aim to uncover universal STM design principles as
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modelling approaches, and: A PhD in Earth Sciences, biogeochemistry, or related discipline A strong interest in organic geochemistry and hands-on laboratory work You are able to independently plan, organize
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chemistry and physics techniques. What you will do You will work in a small team, including one or more PhD students, towards the goal of designing, analyzing and testing novel device structures that exploit
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-recorded environments to assess real-world performance Design clinician-facing visualization tools ensuring privacy-by-design anonymization of patients and their home environment You will translate
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to improve their visibility. The Postdoctoral Researcher hired onto this project will lead or otherwise collaborate on the design, execution, and analysis of: A bibliometric study of impact statements
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theoretical advances into practical insight and tools that can support analysis, design and decision-making for AI-enabled space systems, thereby bridging the emerging scientific theory of deep learning with
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better predictions of fire extents and its impacts on vegetation at regional scales. This is a contribution to INFLAMES (https://inflames-project.github.io/ ), a national research project on fires, with
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using onboard IMU signals Run a pilot home-testing study on continuous gait monitoring, assessing feasibility for future large-scale use You will translate this into a research plan aimed at peer-reviewed