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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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/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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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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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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testing Develop and evaluate models in machine learning and reinforcement learning Publish papers in top robotics and AI conferences and journals Collect and process data from human experiments and sensor
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Requisition Id 16760 Overview: We are seeking an Applied Data Scientist to perform development of novel and advanced AI/ML algorithms. This work will support a broad user base by applying AI methods