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types of communication on social media and how that affects polarization. You will use an innovative multimethod quantitative approach, such as longitudinal survey research, (automated) content analysis
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27 Aug 2025 Job Information Organisation/Company DIFFER Research Field Engineering » Electrical engineering Engineering » Electronic engineering Physics » Applied physics Physics » Electromagnetism
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You have a strong affinity for both experimental science and advanced data analysis using Matlab and/or Python. You have a deep understanding of muscle exercise physiology/or human physiology, from
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. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science. The group develops algorithms and theory that enable domain experts to describe data
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. The candidate will be embedded in the Explanatory Data Analysis group at the Leiden Institute of Advanced Computer Science. The group develops algorithms and theory that enable domain experts to describe data
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behavioral datasets Proficiency in scientific programming (e.g. Python, MATLAB, or R) for data analysis and visualization A clear affinity for insect behavior, sensory ecology, or movement ecology; Fieldwork
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patients’ experiences of ‘death’ and ‘deadliness’ This monograph should consist of a critical phenomenological analysis based on a literature review and data collection. This data collection will mainly
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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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to this. This involves the analysis of a large sample of graded, student-written texts from UvA databases. Important steps constitute the development and validation of automated and potentially LLM-based scoring metrics