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Professor in AI-driven patient stratification and microbiome-based interventions (combined position)
data Explorative Network) , Odense University Hospital (OUH), respectively. The position is vacant as soon as possible, and the two 50% positions are considered as one entity (= full-time). Job
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behavioral and activity monitoring systems (e.g. video-based tracking systems, IntelliCage, maze-based assays) • Data acquisition, basic analysis, documentation, and data management • Training and
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to the deselected applicants. Letter of reference If you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly
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integrated circuits, which may include: design, simulation, and experimental validation of analog and mixed-signal integrated circuits and systems; low-power and high-performance data converters, sensor
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Applicants should have strong experience in one or more of the following overlapping areas: Analog and mixed-signal IC design: amplifiers, references, data converters, sensor interfaces, and power management
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in across biomes, species and methodologies. Further information For additional information please contact Head of Section for Aquatic Biology Professor Tenna Riis (tenna.riis@bio.au.dk) (position 1
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collaboration with Odense University Hospital ensures excellent possibilities for translational research. Information about the department and contact details to professors leading relevant research groups can be
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approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by employing staff who bring unique perspectives to our department
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the EuroTeQ initiative at DTU by assisting with communication, event coordination, and data analysis related to student engagement and EuroTeQ educational offerings. The role involves collaboration with
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international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here