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Vacancies Postdoc position on Data enhanced physical reduced order Models Key takeaways The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial
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interfacing technologies, musculoskeletal models and personalized rehabilitation interventions. Your core tasks will include: Performing human measurements involving HD-EMG acquisition from lower-limb muscles
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. Integrate this neural information into real-time musculoskeletal modeling using our CEINMS-RT framework . Enable neural control of a bilateral cable-driven ankle exoskeleton in post-stroke individuals during
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will combine BERT type models and Large Language Model (LLM) to examine research publications and patents, in combination with other unstructured data sources such as policy documents, media, call
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forefront of neuromechanics and assistive robotics. Our work bridges neuroscience, biomechanics, and robotics to develop real-time models of joint biomechanics and adaptive control strategies for wearable
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accounting, developing new and fair business models and markets, and research on various agricultural value chains (e.g. livestock, horticulture and floriculture). Your qualities a Master’s degree with a
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
models for upscaling of the heat transition", and you will be primarily involved in the Work Package that focuses on "Effective and inclusive citizen engagement and support for scalable PED designs
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interventions. Your qualities This position may be the right fit for you, if you: have a PhD in Museology, Heritage Studies, History or a related discipline; have experience with public engagement and curation
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application of spatial microsimulation and agent-based models in relation to the Horizon Europe project MOBI-TWIN ( https://mobi-twin-project.eu ). ????-TWIN is a Horizon Europe project that investigates
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-based-modelling. This post-doc will be responsible for conducting these tasks. The spatial microsimulation will create maps that cover the pilot areas and show where demand for either social services