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required. The following would be assets for prospective candidates: Experience with big data approaches and/or experimental methods. Familiarity with different theories and methods to study political
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(Computational) Social Sciences, Data Science, or a related discipline (e.g., sociology or human geography) by the start of the position; has proven experience in working with large datasets and quantitative
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methods to administrative data. The exact topic will be chosen in coordination between the successful candidate and supervisors. The successful candidate will be part of the Strategy Economics group within
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to the TopTreat consortium by analysing and optimising new personalized strategies for osteoarthritis diagnosis and care, based on collected clinical data and technological innovations (TopTreat-onderzoek artrose
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agriculture to function well within the landscape. In this PhD, existing monitoring network data and locally collected field data will be available for the modelling work, in addition to freely available
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materials. For the second challenge, achieving cooperative effects by the controlled organisation of a large collection of molecular motors, one approach involves embedding molecular rotary motors in
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and have access to state-of-the-art industry experts, data and knowledge, allowing you to make an impact during your PhD research. In this position you will work with real world data and models, aimed
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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the breeding of complex resilience traits for several crops in different growing systems. This collaborative effort involves four universities and numerous companies. It encompasses scientific research, data
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-property relationships are rare, providing a large open catalyst space to be explored. This project will rely on data-driven workflows for the closed-loop design of ligands that will facilitate challenging