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seminars, workshops, and conferences of the programme. Selection Criteria For a post-doctoral researcher: a PhD in comparative political economy, political science, economics, sociology, public
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Vacancies Postdoc position for Multi-scale process modelling Key takeaways At the CPM chair we are looking for a postdoctoral researcher to join the EU-funded FASTER project, which aims to enable the decentralized production of green ammonia; a crucial molecule at the intersection of the energy...
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Organisation Job description Within the Department of Operations, a post-doc position is available on the topic of logistics for customization in education with self-regulation. A paradigm shift is required in the organization of the logistics operations of educational processes to achieve a...
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. Integrating HD-EMG decomposition algorithms with the CEINMS-RT musculoskeletal modeling framework to enable efficient real-time computation of joint kinetics. Developing and validating motor unit-driven
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be carried out in collaboration with an ASML Berlin under the umbrella of the Industrial Focus Group XUV Optics at the university of Twente where a multidisciplinary research program on growth
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, molecular inorganic chemistry and molecular materials chemistry are embedded in the institute. The research programme is focused on synthesis, catalysis, functional materials, bio-organic chemistry/chemical
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with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio
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this postdoc with the conditions and support to advance in their academic and/or professional career. This research is funded by the EU as part of the Horizon Europe programme. Resources are secured
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whole, ignoring that specific factors likely matter more for some groups than for others because the meanings they ascribe to climate change differ. This project (funded through the Vici programme of
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tumour response to treatment can then bring this much-needed clarity, and implementing this understanding into computational tools can provide the potential for rapid clinical response to patients