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understanding of plant-microbe interactions; demonstrable analytical and problem-solving skills; experience with data analysis using R; proficiency in written and spoken English; proactive and collegial working
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related field, and a strong interest in biomedical applications. Experience in machine learning, statistics, or high-dimensional biological data analysis is advantageous. Ideal candidates are curious
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the set-up of the research, the selection of methods and theories, data collection, analysis, and output. Given the nature of the project, the researcher is expected to work closely with secondary schools
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for hands-on experimental characterization techniques and data analysis. Skills in programming (e.g., Python, MATLAB) and simulation tools. Expertise in photonic integration is not a must, but having relevant
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exploitation of PRIDE (Planetary Radio Interferometry and Doppler Experiment) observations by developing and applying open, reproducible analysis pipelines for deep-space mission tracking. You will be embedded
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or are willing to acquire the relevant skills during your PhD project. You have an affinity with Digital Humanities, especially with network analysis and visualisation tools (e.g. Nodegoat, Gephi). You are able
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of social justice, development and inequality, and theories of care. You are trained in qualitative methods and analysis approaches. You have experience in collecting and analysing qualitative data, ideally
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not be considered. Screening is part of the selection process. About the department The candidate will join the Design and Analysis of Communication Systems DACS group at the University of Twente
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-waiting – were successful spies in seventeenth-century England. This is what Nadine Akkerman describes in her book Invisible Agents, the first analysis of the role of female spies in the seventeenth century
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the analysis. These logistics concepts must be resilient: robust, adaptive, and flexible. The research questions can be tackled by combining techniques from the domains of Integer programming, (Stochastic