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(e.g., COBRApy, COBRA Toolbox, RAVEN). Demonstrated experience with machine learning methods and their application to biological or scientific data. Strong programming skills in Python, with experience
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disorder. This project investigates early neural markers of psychosis by integrating multimodal neuroimaging with genetic and transcriptomic data and applying machine-learning approaches to identify
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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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partners. Research activities at the division are organized into four main areas: Electric power systems Power electronics Electric machines High-voltage engineering The strength of our research lies in a
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for candidates who have completed their PhD no more than three years before the application deadline. The position is based in the discipline of Sociology, within the Department of Social and Psychological Studies
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-of-the-art MRI scanners (including one new 7T scanner) as well as MEG (Elekta Neuromag TRIUX 306-channel system). If you are at the end of your PhD and expect to defend your thesis within 6 months (and may not
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into consideration. The area of the PhD degree is expected to be computer science but related topic areas in the engineering or mathematics fields can be considered together with extensive experience in software
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collaboration and co-production internationally. Qualification requirements The applicant is required to have a PhD degree in Quantum Computing or Quantum Information Science. The applicant must have completed
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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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, we are looking for candidates who have completed their PhD no more than three years before the application deadline. The position is based in the discipline of Sociology, within the Department