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industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is
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objective of generating novel knowledge about how to reduce social inequality. The interdisciplinary center integrates researchers with substantive expertise from education, psychology, sociology, economics
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solutions, motivated by industrialization and deployment. ERI@N is committed to enable knowledge creation and technology transfer by building strong alliances with government agencies, leading industry
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Matcher (https://www.sheffield.ac.uk/eee/people/academic-staff/stephen-matcher ) and the Human Parturition Research Group of Prof Dilly Anumba (https://www.sheffield.ac.uk/smph/people/clinical-medicine
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Alzheimer’s disease to the study and for administering non-invasive brain stimulation (phase-locked TI electric fields and audio), electroencephalography (EEG), and cognitive paradigms during wakefulness and
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About us The UK Dementia Research Institute (UK DRI) is the biggest UK initiative supporting research to fill the major knowledge gap in our basic understanding of the diseases that cause dementia
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, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and direct contracted research. Therefore, public and private entities have access to a pool
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 5 days ago
skills and advanced knowledge of signal analysis; Proven laboratory experience, specifically in microscopy techniques and cell culture. Preferential: Preference will be given to candidates interested in
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and responsible space exploration, with planetary protection at the core of its efforts. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research
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Computer Science, Computer Science and Engineering or related area. Additional optional skills and qualifications: Proven track record in ontology alignment, machine learning with biomedical data, and knowledge