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in statistical analysis, quantitative methods, or mathematical modelling obtained outside these subject areas may also be included. The requirements do not need to be fulfilled at the time of
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, or have completed other education of equivalent scope and depth. We are looking for candidates with a strong interest in critical social analysis and a desire to explore questions related to digital
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aluminium in high-value products produced by mega-casting. The main objective of the PhD project is to develop a finite element analysis (FEA) framework that can accurately predict the mechanical properties
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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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and documented background in machine learning, deep learning, data analysis and programming. Previous experience in research and knowledge in bioinformatics, biophysics, biochemistry, molecular biology
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and qualitative, but no advanced quantitative analysis is required. The duties include data collection, digitization, and analysis, as well as writing academic articles for publication in
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at least 30 credits must be at the advanced (master's) level. Courses in statistical analysis, quantitative methods, or mathematical modelling obtained outside these subject areas may also be included
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to the research project at hand, having very good skills in discourse analysis, as well as an orientation in digital politics, are key requirements. Since the research will be conducted in an international and
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would