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to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral
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This project responds to a three-year marine litter monitoring campaign on the Isle of Skye, Scotland, UK. It builds on Loughborough University’s 50 Years of Litter on Skye and associated research projects. Integrating environmental, engineering, and social science methods, the interdisciplinary...
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, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research
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Are you interested in this position? Please send your application via the 'Apply now' button below beforeNovember 15, 2025 and include: A full CV including your publications, awards, and working experience. Your CV should demonstrate the scope of your work and education and indicate a good fit...
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. We work at the interface of engineering, data science, and applied mathematics. Your profile We are looking for a highly motivated candidate with: M.Sc. degree in a relevant field. Excellent
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for a PhD candidate with strong mathematical skills and passion for railways. An MSc degree in Transport, Operations Research, Logistics, or related fields. Demonstrable competence in mathematical
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Applicants must hold a Bachelor’s degree and a Master’s degree (or equivalent) with a minimum total of 300 ECTS credits in fields such as data science, computer science, physics, or mathematics. Candidates
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Do you want to contribute to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics
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to biomedical research, particularly in immunology. Job Duties Develop and analyze mathematical models (primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement
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industrial partner, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally