20 parallel-computing-numerical-methods-"Prof" PhD positions at Utrecht University in Netherlands
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Application deadline: 15 May 2025 Apply now Are you fascinated by the complex ways our social environments shape health? Do you want to develop cutting-edge methods to measure social networks at a population
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health behaviour. Using a novel combination of deep learning, street view imagery, and epidemiological methods, we aim to identify the most effective urban exposure modifications. This research will
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it with a nanoscale separator, and fill it with cathode material. The goal is a scalable, robust fabrication method that could revolutionise battery technology and support sustainability. Your project
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knowledge in NMR is a big plus for the positions. As we use a combination of methods to gauge the molecular action of drugs, being a strong team player is very important for the positions. Our offer A job for
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visual, digital and/or creative methods; excellent planning and organisational skills (including meeting project goals and deadlines), ability to take initiative, and present research findings for wider
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experience in working with visual, digital and/or creative methods; excellent planning and organisational skills (including meeting project goals and deadlines), ability to take initiative, and present
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algebraic geometry, or representation theory; familiarity with programming and the use of computer algebra. Our offer A position for 18 months, with an extension to a total of four years upon successful
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this challenge by developing mechanistic computational models. You will apply these models to recapitulate key aspects of intestinal development in the nematode Caenorhabditis elegans, which is an excellent model
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formation via modifications to sedimentary redox reactions and sediment stabilisation, providing microenvironments favorable for organic matter preservation. A personalised training programme will be set up
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people across disciplines and with a variety of perspectives and backgrounds. The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics