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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer science The EU MSCA Doctoral Network ELEVATE addresses neuromorphic event-based sensing and
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-HydroNet: A GNSS-reflectometry-based sensor network for investigating hydrological processes in Northern Finland. The work will contribute to the Digital Waters Flagship, bringing research and innovations
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Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital medicine is
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you like to develop (materials for) hydrogen sensors that can the quantify the hydrogen
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research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. The MarSens (Marine Optics and Remote Sensing group, https://www.marsens-ugent.be/ ) investigates
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Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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). The position is dedicated to the ESA-funded Rover Permittivity Sensor. The expected starting date is February 2025, with an initial contract limited to 2 years and a possible extension. About us: We are strongly
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the CEITEC Brno University of Technology is opening a position of a Postdoctoral Research Fellow: “Chemist / Materials Scientist for Development of Biosensors or Sensors based on Single Atom Engineering
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Cooperative Extension Area Citrus and Pistachio Advisor - Serving Kern and Kings Counties (AP 25-34)
University of California Agriculture and Natural Resources | Bakersfield, California | United States | 1 day agomanagement using AI-powered diagnostics, drone surveillance, and sensor networks to detect, predict, and mitigate threats with minimal chemical input High-density orchard systems optimized for mechanical