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Field
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terms of fieldwork, participation in consortium meetings, and to the analysis and writing of the shared output. The candidate is expected to contribute actively to the Marine Ecology Lab. Group and the
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skills in analytical chemistry, preferably mass spectrometry. Knowledge of instrumental residue analysis of (plant) toxins is preferred; you have excellent communication skills, both oral and written; a
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expertise in healthcare, technology, and quantitative analysis. Using data from the TopTreat consortium, you will identify prognostic markers to support personalized treatment, and assess their health
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an overview of your experience with molecular dynamics, density-functional-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc
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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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group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods, vectorized query execution, indexes for interactive data analysis
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related field; experience with numerical modelling, preferably hydrological modelling; affinity with delta systems, adaptation and policy analysis; motivation to work in interdisciplinary scientific
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, using equipment like 3D printers, furnaces, centrifuges, and microfluidic devices. Meticulous data recording and analysis are essential, as the project combines practical engineering with fundamental
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Sciences. Knowledge of sensory and/or motor systems in the body is preferred. Experience and/or enthusiasm for public outreach. Research experience with human subjects. Training with data analysis on time
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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