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modelling of acoustic signal generation and transmission in multiphase flow systems. This is contingent on additional mobility funding, which the candidate is expected to apply for. Distributed Acoustic
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 6 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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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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of algorithms for ECG analysis from novel biodegradable electrodes and classical sensors. Data acquisition of ECG signals for electrical characterization of the novel electrodes. Creating a Database of ECG
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the already developed sensor network (visitor density). • Creation of multi-objective recommendation mechanisms, balancing individual satisfaction and mitigation of tourist overload. • Automatic generation
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Research Infrastructure? No Offer Description Mission: To quantitatively demonstrate that collaborative detection is better than that of individual agents in urban mobility. Functions to be developed: Infer
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, mobile platforms, industrial sensors/cameras, GPU workstations, and cloud platforms. Training covers research methods, scientific writing, open-source best practices, and impact/engagement. You’ll be
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— MOBVEC — HORIZON-EIC-2022-PATHFINDEROPEN-01 – “Mobile Bio-lab to support first response in arbovirus outbreaks”, promoted by Pathfinderopen, from the European Innovation Council (CEI), funded by
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methodologies to analyze intensive data streams, including mobile sensor data, social media, and ecological momentary assessment data The use of models as measurement instruments The selected candidate will
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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