31 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" uni jobs at Chalmers University of Technology
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computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project
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, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take
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to the forefront of quantum technology, and to build a Swedish quantum computer. Building a quantum computer requires a multi-disciplinary effort involving experimental and theoretical physicists, electrical and
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and mixed-signal design, and thus broaden and strengthen our expertise in the design of electronic systems. You will also develop and teach courses in electronics design at the bachelor and master
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researchers develop new machine learning (ML) methods to tackle challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division , our group
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computational methodologies, ranging from atomistic and electronic-structure–based materials modeling and characterization, via machine-learning and high-throughput methods, to ab initio calculation
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with catalysis/photochemistry Programming skills using Python and MATLAB Analysis of complex scientific data through machine learning What you will do Plan experiments together with your supervisor and
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related field, including courses in hydraulics/fluid mechanics. Knowledge of Python programming, machine learning (ML) or AI is a plus. Experience in hydrodynamic modelling of water systems is required, and
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, Computer Science, Bioinformatics, Machine Learning or related fields. You need excellent programming skills and an ability to design and implement machine learning-based projects. You need a strong
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countries. The department is a fully integrated department with Chalmers University of Technology and University of Gothenburg as principals. The position is placed in the Division for Computer network and