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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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safety? Join our PhD project on the legal role of ‘trusted flaggers’, a key but underexplored mechanism in EU content moderation. Help shape how the Digital Services Act is interpreted and applied, as part
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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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Organisation Job description We are seeking a candidate for a PhD project on the philosophical aspects of data science and data science use, with specific attention for the use of data science
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engineering, system engineering, or related fields. Solid background in process safety, quantitative risk assessment, and simulation methods. Experience in programming and/or safety analysis software. Familiar
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data analysis and operations research. You hold, or will shortly acquire, a Master’s degree in Civil Engineering, Industrial Engineering, Mechanical Engineering, Econometrics, Computer Science, or a
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simulation, computing and data analysis. Our group is involved in the worldwide effort of advancing gravitational-wave instrumentation, which will give you opportunities to engage with researchers all around
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science and have a particular interest in and preferably have knowledge of gut anaerobic culturing, bioinformatics, and mass spectrometry data analysis. You like a challenge and you have a problem-solving
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, bioinformatics, and mass spectrometry data analysis. You like a challenge and you have a problem-solving mindset. You have good statistical skills and experience with analyzing metabolomic and metagenomic
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information on this check, please consult Chapter 8 of the National Knowledge Security Guidelines . We carry out this check on the basis of legitimate interest. Please do not contact us for unsolicited services.