154 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at Chalmers University of Technology in Sweden
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engineering or embedded systems Experience in machine learning for neural data What you will do Take courses at an advanced level within the Graduate school of Electrical Engineering ( Graduate schools
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on future satellites? If you have interests in physics, technology, climate and machine learning, this is the doctoral student position for you! About us Our team is part of the Division of Geoscience and
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on the 25-qubit device. Project 2: Machine Learning for Quantum Transpilation This project aims to bridge the gap between idealized quantum circuits and physical hardware constraints. ML Architecture: Develop
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Master’s degree in, for example: Innovation or transition studies Political science, public administration, or similar Science and technology Studies (STS) Global systems, industrial engineering and
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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departmental duties (up to 20% of working time) Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up
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learning-based control within a collaborative and dynamic environment. About us At the department of Electrical Engineering research and education are performed in the areas of Communications, Antennas and
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measurement technique development, atmospheric modelling, and advanced methods for integrating observational and model data through data assimilation and machine learning. About the research project The overall
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Experience in machine learning for neural data What you will do Take courses at an advanced level within the Graduate school of Electrical Engineering ( Graduate schools | Chalmers ) Develop your own
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of all aspects of higher education. More information about us can be found on our website: http://www.chalmers.se/math/ At the Division of Algebra and geometry , we conduct research at a high international