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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
. The objective is to define robust, scalable theoretical and algorithmic tools applicable to complex and interconnected systems such as smart grids, sensor networks, multi-robot systems, and cyber-physical
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learning algorithms, building thermal image mosaics, collecting and analyzing thermal datasets, and contributing to research on PV health monitoring. Applicants should have a bachelor's degree in Computer
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Sonmez Turan [email protected] 301.975.4391 Description NIST standardized cryptographic algorithms are intended to be "bulletproof". That is, the computational complexity needed to break them is
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-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by optimizing and
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develop advanced predictive maintenance solutions involving sensor integration, high-speed data acquisition, electrical and vibration signal analysis, anomaly detection, and health analytics for marine
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/FMV, geospatial and AIS tracks, signals and sensor data, and text-based intelligence reports and develop pipelines, annotation frameworks, and quality assurance processes while gaining deep exposure
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of hardware, software and algorithms is a plus experience with agentic AI, robotics and sensor fusion is a plus you have an interest in plant science and molecular biology you are fluent in English (spoken and
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TO BE CARRIED OUT: Design of semantic models for quality assessment • Training models using colorimetric data from agricultural products • Installation of thermal and visible-light sensors • Programming
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
this context, the offer is about continual audiovisual robot perception, and aims to develop methods and algorithms to continuously extract cues about human behaviour from audio and visual data in real-world
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; multi-modal scene sensing and interpretation; pre-harvest fruit quality assessment; and perception algorithms for autonomous crop harvesting. We are particularly interested in applicants with experience