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-resolution wearable sensor streams, and endocrine test outcomes. Intelligent Artifact Detection: Develop cutting-edge Machine Learning algorithms to automatically identify, flag, and mitigate data artifacts
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and bilateral PA and MACS building on existing and new imaging data obtained by partner groups in the ENDOTRAIN network. The objectives of the project include: Developing reaction-diffusion mathematical
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of cortisol and its metabolites, and data collected from wearable devices. The overall objective is to define the optimal range of tissue cortisol. About the project/work tasks: The project includes: A case
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jobs Vacant positions - University of Bergen Find more jobs PDF Link to startpage Switchboard: +47 75 54 22 20 Support Privacy policy - cookies
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positions - University of Bergen Find more jobs PDF Link to startpage Switchboard: +47 75 54 22 20 Support Privacy policy - cookies
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Maximilians University Hospital Munich, Germany See more jobs Vacant positions - University of Bergen Find more jobs PDF Link to startpage Switchboard: +47 75 54 22 20 Support Privacy policy - cookies
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(%) Duration Fixed Term Place of service Adhera Health SL (Spain) See more jobs Vacant positions - University of Bergen Find more jobs PDF Link to startpage Switchboard: +47 75 54 22 20 Support Privacy policy
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Term Place of service University of Bristol, U.K. See more jobs Vacant positions - University of Bergen Find more jobs PDF Link to startpage Switchboard: +47 75 54 22 20 Support Privacy policy
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minimally-invasive measurement of cortisol and aldosterone in humans. Current technology lacks the needed temporal resolution to detect abnormal hormone patterns partly due to the number of samples required
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-physiology models of interest for: Phenotype classification Estimation of the probability of developing diseases Anomaly detection Early diagnosis. The recipient will learn and apply a vast portfolio of