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, socio-spatial inequalities and real estate applying quantitative, qualitative and mixed research methods. Our ideal candidate should have: A PhD-degree (or nearly finished) in the field of economic
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
to devote attention to your personal development. You can count on an enjoyable job with high societal relevance and an exciting mix of academia (education and research) and practice (the science + society
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before September 10, 2025, and include: A full Curriculum Vitae. Your CV should demonstrate the scope of your work and education and indicate a good fit with the stated requirements for the position. A
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research with its sequential, mixed-methods toolkit. This includes focus groups, Correlational Class Analyses, survey-experiments and discrete choice experiments. The postdoc project advertised here will
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reality and mixed reality; data modelling and databases, in particular the spacecraft reference database; semantic modelling in support of digital continuity and semantic interoperability; digital twin
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implementing real-time algorithms for tracking muscle fascicle kinematics concurrently from the tibialis anterior and soleus muscles using B-mode and RF ultrasound signals. Conducting experimental studies with
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employ complex system dynamics and feedback mechanisms to understand how, where and when to intervene. System dynamics highlights which factors and policy (mix) can accelerate behavioural change by
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take place in the week of the September 8. If needed, the second interviews will be held shortly after. A reference check will be part of the application procedure. Please indicate in your CV or letter of
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role – from microscopes to telescopes, but also for advanced lithography. For the next-generation “hyper-NA” lithographic tool of ASML, the demands of keeping the wafer surface at the focal point
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academic Chair, where we interface robotic technologies with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a