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                Design and Software Engineering at the department, with the University of Gothenburg as the employer. The position will work with an interdisciplinary project, investigating how social-psychological 
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                conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Software Engineering is well-recognized internationally for its research and 
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                innovative ideas in the described research context. You will be part working closely with the SQuaD (“Software Quality and Digital Modernization”) as well as the PriSec (“Privacy and Security”) research group 
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                , complemented by extensive experimental verification in both laboratory and field environments. We aim to advance the understanding of electrical power systems for renewable energy, vehicles, buildings, and 
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                mathematics, data science and machine learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will 
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                . software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software 
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                Electric machines High-voltage engineering The strength of our research lies in a solid theoretical foundation combined with extensive experimental verification, both in our laboratories and in the field 
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                research lies in a solid theoretical foundation combined with extensive experimental verification, both in our laboratories and in the field. Our goal is to enhance the knowledge base related to electrical 
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                command of English, good communication and team working skills Qualifications below are seen as merits Good Python programming skills, working knowledge of collaborative software development tools Hands 
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                analysis in medicine. Experience of software version control with Git, typesetting with LaTeX, use of Linux computers; Experience with graph-based methods, and graph convolutional/neural networks; Experience