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A Postdoc position is available to explore the possibility to synthesize and stabilize channel-type cyclodextrin crystals. Channel-type cyclodextrin crystals display superior properties as e.g
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aware algorithms) and apply them in several real-world settings of important clinical relevance. The Postdoc will be responsible for leading the development of Bayesian metrics for privacy preserving AI
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driven methods. The Post Doc will be working with the latter. The model structure will be founded on first principles models with parameters that ideally possess physical significance. Parameters
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15 May 2024 Job Information Organisation/Company Aalborg University Department Center for Neuroplasticity and Pain (CNAP) Research Field Medical sciences Neurosciences Engineering » Biomedical
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experts within biomedical engineering, neuropsychology, pharmacology, biophysics, medicine, and medicine with industrial specialisation. You will thus be joining an inspiring, enriching, and productive
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The construction industry faces numerous documented challenges related to improper waste disposal, including issues such as illegal dumping, litter pollution, and incorrect sorting. A significant
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the surrounding community. AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings. AAU Energy has a very international environment and covers all areas of clean and
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. Mobilizing literature in science and technology studies(STS), media studies and social anthropology, the project aims to redefine digital breakdowns as everyday “normal” occurrences rather than perpetual
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the surrounding community. AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings. AAU Energy has a very international environment and covers all areas of clean and
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
The Postdoc position There is a large potential for using artificial intelligence(AI) for improving diagnosis, prognosis, and treatment of many diseases. Large amounts of clinical data are needed