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composition, electrode materials, and membrane materials on pH conditions; design experiments to quantify local pH environments near electrodes and membranes and integrate experimental observations and
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and progresses? In this PhD project, you will use innovative data analysis approaches and unique, deeply phenotyped cohorts to investigate the complex relationship between dietary factors, metabolic
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programming skills (e.g. Python, MATLAB) and familiarity with FAIR open source practices. Excellent command of English (written and spoken). Preferred: Knowledge of CMIP datasets and climate scenarios
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PhD candidate for the project "Modulation of inflammatory Dendritic cell subsets in atherosclerosis"
for intervention. You will make use of available human atherosclerotic tissue and datasets, design and perform in vitro studies and validate findings in vivo. What you bring We are looking for an enthusiastic
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. Moreover, another PhD vacancy at University of Amsterdam, jointly supervised with Ross Kang on a similar topic, is open now at the same time, giving further collaboration opportunities. Besides carrying out
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on caterpillars and solitary bees. Your duties and responsibilities include: Design and conduct field studies across Northwestern Europe to assess how large- and small-scale gradients in N deposition affect soil
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computational methods for game equilibrium problems. Develop an open-source computational toolbox for dynamic game equilibrium problems. Teaching activities are part of your PhD trajectory and may include
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understanding of how piping develops and help engineers assess and design safer, more reliable flood defence systems. In this PhD project, you will contribute to this challenge by advancing the modelling
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position involves conducting interviews with Dutch-speaking participants and communicating in an academic environment. What we offer At Maastricht University, you’ll work in an international, open, and
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, the effectiveness of Helix—and other advanced wake-mixing strategies—strongly depends on the accuracy of the wind farm models used to design and evaluate these control strategies. Improving the predictive capability