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2025 Apply now Join CropXR as PhD candidate! Develop computational models to translate drought & heat stress responses from a model plant species (Arabidopsis thaliana) to crops. Combine plant biology
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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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PhD Position in Causal Agent-based Modelling of Complex Social Systems Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40
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departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring education. We do so
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cultures; gain deeper insights into the biology of neurons. Develop academic skills such as effective scientific communication (written and oral), building collaborative networks and teaching. For example
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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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district heating network operators. Within this PhD project, you will: perform experimental characterisation of mine goaf rocks from selected end-of-life coal mines, focusing on their thermal, hydrological
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machine learning, with the goal of revealing how genome architecture shapes physiology, ecology, and evolution. Unlock hidden biological patterns while developing key computational and academic skills. Your
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, Computer Science, Mathematics or a related field; demonstrable programming skills, preferably in Python; solid experience with machine learning, in particular with graphical models such as Bayesian networks
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(UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff