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well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and
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Supervisors: Prof. Reinhard Maurer (Chemistry), Prof. Richard Beanland (Physics) Understanding how local atomic structure and long-range emergent magnetic and electronic properties in defective 2D
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or find out more? If you want to apply straight away, click the application button. If you would like more information about what the job entails, please contact prof dr Marieke Liem at m.c.a.liem
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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty
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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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., computer science, mathematics, electronics, medical devices, bioinformatics, or law); fluency in English. Creativity, taking pleasure in research, and a sense for research quality and ethical behavior in research
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at the intersection of cyber security, cyber-physical systems, and mathematical methods as part of the NORCICS Norwegian Centre for Cyber Security in Critical Sectors. The centre links researchers from
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and the Study of Religion Psychology and Educational Sciences Cultural Studies Languages and Literatures Social Sciences Mathematics, Informatics and Statistics Physics Chemistry and Pharmacy Biology
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candidate with: - with an MSc degree in epidemiology, health sciences, public health, (health) economics, econometrics, mathematics, quantitative sociology, (developmental) psychology or a related field
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression