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Field
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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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applicants to this PhD proposal should have the following qualifications: MSc degree in electrical engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and
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Engineering, Control Engineering, Physics or Mathematics (or equivalent) for appointment at Research Associate level and have previous experience in research and innovation in IBRs and power systems. You should
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This PhD project explores the use of plasmonic nanostructures for trapping and spectroscopic characterization of proteins, enabling real-time, label-free studies of their structure, dynamics, and interactions. The research will focus on designing plasmonic platforms to trap proteins...
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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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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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fields (genetics, genomics, bioengineering, applied mathematics) Obtained or will obtain a Master’s degree in the above fields (For biologists) Intermediate programming skills in R or Python and prior
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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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3 Oct 2025 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Mathematics » Applied mathematics Mathematics » Statistics Sociology » Other Researcher Profile