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the department is available at: https://www.umu.se/en/department-of-computing-science/ Project description Graph transformation is a well-established theory that studies computational methods
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-ins, their drivers and impacts – and to identify sustainable compromises to alleviate polarisation. The project team employs a diversity of methods across disciplines, from interviews and focus groups
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that simulate anoxic and oxic conditions to quantify radionuclide remobilization under climate-driven changes. Develop and apply advanced radiochemical and mass spectrometric methods (alpha spectrometry, ICP-MS
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background, research questions, method, and potential outcomes. Copies of graduation degrees, or equivalent, as well as other relevant certificates, e.g. English-language certificate if you did not do your
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InfraVis/CIPA, you will have access to both local and national colleagues for stimulating exchanges, discussions, and joint efforts to solve complex challenges, develop new methods, and support research in a
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, and the sub-study explores the creation of spiritual cultures within postcolonial contexts. We are looking for a researcher with skills in quantitative methods and a strong foundation in post/decolonial
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flow, fluid dynamics, and sustainable energy systems. The research focuses on developing new methods to study and model multiphase flows as key phenomena in energy and industrial processes. The work
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14 DCs in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL home page at https://cordis.europa.eu/project/id/101226229 . The part of the project
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attitude to share information. In addition, you will participate in analysing and interpreting different type of data. You are expecting to have the responsibilities of developing methods for analysing and
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description Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy-preserving, and ethical, which leads