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Application deadline: 15/08/2025 Research theme: Computer Science No. of positions: 1 Eligible for: UK This 4-year PhD project will be funded by DLA studentship and is open to UK students
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on Wednesdays and Fridays 11:35-12:55 and labs Mondays 15:35-17:25. This course includes an Introduction to problem-solving methods and algorithm development. Emphasis is on designing, coding, debugging, and
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, applying and validating your algorithms through laboratory experiments. A PhD in Chemistry, Biology, Computer Science, or related fields with a focus on protein engineering. Proficiency in Python programming
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of PhD students on this project, collaborating with other partners in the ARIA programme, assisting with the delivery of project milestones, and managing the project’s codebase. We expect novel algorithms
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Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and
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the future of pediatric oncology, neurodegenerative disorders, and sickle cell disease. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm
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Vacancies PhD position: Enabling Membrane-Based Industrial Effluent Reuse using Model Predictive Control Key takeaways The Netherlands is a water-scarce country. We therefore need to focus
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raise fundamental questions about rule of law, transparency and discrimination - especially when algorithms lead to erroneous or unjust decisions. In this PhD research, you will legally analyse how AI is
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of machine learning approaches, and uncertainty quantification in ML algorithms. The ATLAS group has four staff members, in addition to two PhD students and one postdoctoral researcher. For this project we
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will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer