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Field
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the standard 30–80 µm to less than 3 µm, enabling a fill-factor of nearly 80% for a 50 µm pitch sensor. Furthermore, TI-LGAD sensors manufactured with a double-sided process hold promise for soft X-ray detection
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Ref. 4364_All. 3 - Methods and Tools for Secure and Autonomous Brain-Inspired Cyber-Physical Systems
Research Infrastructure? No Offer Description "The research will focus on autonomous edge systems based on brain-inspired, sparse and event-driven computing, with emphasis on edge and near-sensor processing
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sensors. The architecture integrates (i) an ultra-low form factor microfluidic separation module and (ii) a multi-modal SiC sensor for precise analyte identification. The seamless integration of a
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of SSD IINF-01/A, with particular reference to one or more of the following areas: (1) electron devices and sensors; (2) integrated electronic circuits; (3) electronic circuits and systems Where to apply
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | about 2 months ago
activity focuses on the study, development, and validation of anomaly detection and reinforcement learning methodologies applied to industrial and IoT contexts. In particular, data from sensors, machines
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dynamic in space/time. It also studies all processes and methodologies related to pre-analytical and matrix interference stages; it designs and develops materials, instrumentation, (bio)sensors, advanced
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process chains, prototyping, metrology, sensors and data acquisition. The aim is to ensure the reliable provision... (see call) Where to apply Website https://www.unibz.it/it/home/position-calls/positions
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, (bio)sensors, advanced separation techniques, integrated analytical systems, characterization, speciation, and metrological techniques and methods, including for field and/or remote measurements
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acoustic sensors deployed in the laboratory and at RFI experimental sites. They will be required to collaborate with railway, mechanical, and IT experts to facilitate the necessary interaction
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reconstruction, and analysis of human movement, gait, posture, or motor behaviour. Experience integrating multimodal datasets (e.g., video, IMUs, EMG, force plates, wearable sensors). Familiarity with modern deep