55 machine-learning-"https:" "https:" "https:" positions at Chalmers University of Technology in Sweden
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Do you want to be part of introducing "new space" and setting an imprint on future satellites? If you have interests in physics, technology, climate and machine learning, this is the doctoral
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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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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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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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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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Do you want to learn how to do machine learning on a real quantum computer, with application to real problems from Life Science? About us The Wallenberg Centre for Quantum Technology (WACQT ) is a
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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 microwave measurements Experience in Artificial Intelligence and Machine Learning methods for microwave circuit design Experience in digital signal processing What you will do Take courses
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected