269 algorithm-development-"https:"-"Foundation-for-Research-and-Technology-Hellas" PhD positions
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Field
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economy environments, intermediate systems have been developed to facilitate the processes of recovery, reuse, and recycling. However, in terms of energy systems, the processes of reuse, recovery, and
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multidisciplinary project at the intersection of Robotics and wildlife conservation. The project aims to develop autonomous drones capable of perching on natural structures, inspired by the way birds rest on branches
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Your Job: The conventional, manual co-design of algorithms and hardware is slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is
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the project is the development of AI-based pipelines for detecting, segmenting, and classifying lichen communities. Convolutional neural networks (e.g., U-Net, DeepLab) and machine-learning algorithms (e.g
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creation of a database for the various pollution sensors with a view to training online (non-embedded) models in the first instance. - Development of a machine learning algorithm based on the study database
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of these activities is for the scholarship holder to develop new knowledge and skills in Artificial Intelligence, with an emphasis on the development of methodologies and techniques in Evolutionary Computation and
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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currently deposited at Zenodo. We will re-annotate the proteins to comprehend the underpinnings of fungal ecology and adaptability. The project will integrate information on the evolution of Mortierellomycota
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, optimize the control algorithms and compare the results. The candidate should be able to develop software programs (patient simulator and graphical user interface using Matlab), to test and validate
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this project, you will develop innovative quantum algorithms for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe