73 development "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Utrecht University
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empirically develop, apply and evaluate, novel approaches to co-creation by including emotions and values and employing digital technologies (such as XR) with rural communities for fostering climate resilience
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behaviour remain largely enigmatic. Your work will focus on developing computational tools to bridge the gap between high-resolution magnetic observations and micromagnetic simulations. You will lead the
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of the geomagnetic field during critical periods in Earth’s history, such as the early Earth, the great oxygenation event, and step-changes in the evolution in the Devonian and Ediacaran. Despite their potential
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in teaching and research activities, and as a core member of the ODISSEI Social Data Science (SoDa) team , you play a key role in developing and applying statistical and data science methods in
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Nanomagnetism, supervised by Prof. Bert Koopmans, based at Eindhoven University of Technology. In this project, we aim to develop an optical pen using laser-induced magnetization dynamics and switching to write
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our external partners, and act as an ambassador towards the mass spectrometry community on our behalf. Join an expert team performing cutting-edge research, ranging from technological development and
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initiatives. You will work with your colleagues and the library’s communication department to develop; support and deploy effective communication strategies; You will drive outreach to research departments and
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the regulatory interactions regulating suberin biosynthesis in different root cell types? And are you interested in combining gene expression analysis with developing new experimental methods, such as TurboCas
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momentary assessment (EMA). The postdoctoral researcher will be responsible for further developing the research plan and exploring how core CPP themes can be integrated into the project (including systemic
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and democratic participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal