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doubts about the quality of the code produced. If you want to investigate the effect that adoption of GenAI has on software development, as well as building tools for mitigating the risks, verifying
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systems use cameras and sensors to objectively and efficiently monitor fishing activities. Currently, video footage from these systems is manually reviewed—a time-consuming process that poses a significant
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that can provide a letter of reference. A brief video (or link to video) of max. 2 minutes introducing yourself. You may apply prior to obtaining your master's degree but cannot begin before having received
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also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab. A desire to engage in cross-disciplinary research
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include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale Short video (1-2 minutes
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research results, improve the ideas, and test them by implementation Your research will include extending and contributing to various in-house codes, including both high- and low-level programming languages
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information from correlation matrices Maintenance of the GitHub repository for the developed code Organizing and managing joint experiments with the collaboration groups You must have a two-year master's degree
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candidates with a mathematical or coding background and a willingness to develop one or both skills during their PhD studies. We welcome candidates with either a background in control engineering, operations
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learning, statistical analysis, and other contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python
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high-quality research on the intersection of machine learning, data science, power system simulation and operation, both from a theoretical/analytical point of view and coding. We are looking for self