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Sustainable energy transition is vital for combating climate change and related challenges. Public acceptability is essential for a successful sustainable energy transition. The planning and implementation of emerging energy technologies, such as hydrogen, requires careful consideration of...
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Are you passionate about shaping the future of energy? We're looking for an energetic Postdoctoral Researcher to join us in collaborative, leading-edge projects within expansive energy consortia. The focus involves expertise in energy modeling, optimization and analyzing diverse energy mixes,...
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between schools? This postdoc position is part of the research project "Educational logistics for secondary education" in which researchers work with schools in secondary education on developing new
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is