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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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, 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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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 12 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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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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(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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digital intra-oral and extra oral radiographic imaging (e.g. cone beam computed tomography, and bitewing, periapical, occlusal and panoramic views in analog/film and digital/plate/sensor formats). Review
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field (https://eimin.lrv.lt/en/sector-activities/innovation/smart-specialization/ ) Selected candidates will receive a fixed-term full-time appointment of up to three years, along with funding of up
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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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, an imaging platform, and a prototyping platform. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8002-MATBER-006/Candidater.aspx Requirements Research FieldNeurosciencesEducation LevelPhD
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. The project aims to elucidate how DNA sensors and T Helper 17 Cells (Th17) responses drive this inflammation. The work involves preclinical models and immunological, molecular, and histopathological approaches