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intelligence, and distributed AI, can enable future healthcare applications. This includes novel approaches for medical sensing, physiological monitoring, diagnostics, therapy support, and telemedicine
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 22 days ago
Planck Institute of Molecular Physiology ,the TU Dortmund University , the Ruhr University of Bochum , and the University of Duisburg-Essen , located in the vibrant and multicultural Ruhr Metropolitan Area
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 1 day ago
access to our core bonobo project and its multiple accompanying projects. The bonobo project focuses on behavioral, ecological and physiological data of wild bonobos, collected over more than two decades
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on the integration of crop physiology, environmental monitoring, sensor technologies, process-based modelling, artificial intelligence and Digital Twin concepts to improve productivity, sustainability and resource-use
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related to staff position within a Research Infrastructure? No Offer Description The Sauer lab at the Center for Integrative Physiology and Molecular Medicine (CIPMM) at Saarland University has an opening
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LevelMaster Degree or equivalent Skills/Qualifications You have a master’s degree in Biochemistry, Molecular, Cellular or Medical Biology, or Medicine, with excellent grades Very good knowledge of physiology
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collaborations, and spin-offs. To this end, our ~1,300 employees conduct research in four key areas: energy supply, energy distribution, energy storage, and energy utilization. Fraunhofer ISE's state-of-the-art R
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-driven and based on the overarching premise that understanding physiology is a prerequisite for making sense of pathology. We are also convinced that innovative therapeutic approaches are discovered
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research (f/m/d) Our group “Physiology and symbiosis” has recently joined the Centre of Organismal Studies – Heidelberg University. We are interested in how animals interact with their microbiomes
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with comparative investigations in Arctic Ice Regions - SPP1158), we aim to close these knowledge gaps using a data-mining approach. To do so, we will use in house as well as previously published 16S