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data analysis on Matlab. • Developing and using models to characterise the soft robots (both sensor and actuator). • Knowledge of programming (C/C++/python/MATLAB), using a prototyping board like Arduino
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(I) Cavitands for Catalytic Small-Molecule Activation SF 2026-06 EP Prof. Emilio Palomares: Materials for Energy SF 2026-07 BP Prof. Beatriz Prieto: Multi-functional sensors to monitor bacterial
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proficiency, particularly in Python Experience with or strong interest in, Language models (SLMs/LLMs), Agentic AI systems, Deep learning architectures, Multimodal AI (e.g., text, time-series, sensor data
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, or as in the present project, as quantum sensors. Such defects are often termed as quantum defects, highlighted for example by NV-centers after the nitrogen-vacancy center in diamond. At DSQS, we aim
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achievements in: physical processing of wastes, battery safety, destructive battery testing, sensor interfacing & data acquisition, and materials characterisation through SEM, XRD, XRF, ICP-OES are highly
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: Renewable energy systems, Cybernetics and autonomous systems, Robotics and intelligent systems, and Information security. ITS also hosts the Centre for Space Sensors and Systems (CENSSS), which incorporates
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for Precision Health Initiative (DAPHI) at UTSW, a major institutional effort that provides access to state-of-the-art computational resources, rich multi-modal datasets (clinical, imaging, omics, sensors), and a
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plant physiological sensor systems to monitor environmental and crop dynamics. Strengthen data management and analysis competencies through the collection, processing, and management of large
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ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in
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several different sensors. As a matter of fact, in most developed countries, smartphone penetration exceeds 80%. The automatic transport mode detection (TMD), when effectively exploited, possibly using some