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Field
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. Proficiency in software development for robotics (Python and/or C++), including integration of perception and control, is another plus. Knowledge of state estimation, sensor fusion or active sensing frameworks
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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- Good PC and programming skills (e.g., with Python, MATLAB) - Experience with measurement techniques and field measurements using sensor technology (ideally using seis-mometers, geophones, etc.), as
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and automated sensors to genetic techniques and classical field-based inventories. This PhD project focuses on how biodiversity in forests can be measured, monitored, and analysed. The position is
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Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | 3 months ago
Calcul Scientifique) is a private research organization developing advanced methods for the numerical simulation and the algorithmic solution of large scientific and technological problems of interest
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deliver a theoretical, algorithmic, and real-time implementation framework for on-the-fly autonomy in crowds. The resulting methods will (i) adapt to unpredictable human interactions that introduce high
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algorithms that allow robots to refine their control strategies based on observed human behaviour. Collaboration: The project will benefit from extending existing collaborations between the University
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edge computing. Motivated candidates with strong mathematical and/or algorithm development backgrounds are especially sought. KIOS Research and Innovation Center of Excellence (KIOS CoE) The KIOS
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healthcare, telecommunications, advanced manufacturing, and sensor networks. Key to this project will be doctoral training initiative consisting of 15 PhD students delivered in collaboration with Ulster
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification