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to dispersed systems: grains, particles, droplets, bubbles, and porous media. It also has expertise in sensor and instrumentation development. The PhD will be carried out in collaboration with the NEEL Institute
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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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Advance at Chalmers. You find the full list of PIs of these research groups on the Chalmers homepage: https://www.chalmers.se/en/collaborate-with-us/collaborate-in-research-and-innovation/research-related
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to develop cutting-edge polarimetric optical sensors for Earth and (exo-) planetary exploration. Advance space science, inspire students, and drive the future of remote sensing. Job description Imagine having
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, benchmarking of current building energy performances, deployment of new sensors & hardware, and quantitative evaluation of energy savings. You will be required to coordinate with multiple internal and external
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Appointment Term: Two years Appointment Start Date: Around end of summer 2025 Group or Departmental Website: https://digonnetgroup.stanford.edu/ (link is external) How to Submit Application Materials: silurian
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staff to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December 2009 (BOUA of 15
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 13 days ago
records, biosignals, medical images, multi-omics, sensor data, and text) into robust and interpretable Artificial Intelligence (AI) frameworks that can support prevention, diagnosis, prognosis, treatment
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(https://coeit.umbc.edu/) is a collaborative environment composed of more than 100 tenure/tenure-track faculty, 60 academic staff, and over 6,200 students. The Dean supports innovative initiatives
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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