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Field
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PhD programme . We are looking for a motivated and intellectually curious researcher with: A first-class or strong upper-second-class undergraduate degree (or a Master's degree) in Computer Science
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. Preferred Background Materials Science, Metallurgical Engineering, Mechanical Engineering, Physics, Computer Science, Data Science, Chemical Engineering, or related disciplines. Strong interest in machine
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Your position You will work on the development of a nanopore-based platform for single-molecule analysis of nanoclusters. Your research will include: • Establishing nanopore assays for detecting and characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored...
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Department: Department of Computer Science Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking, European university. We offer
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diverse research network spanning AI, computer science, mathematics, engineering, physics, and the life sciences. What we offer A structured three-year PhD program at the interface of AI and biomedical
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particular emphasis on applications from psychology, cognitive science and computer science, and the candidate will be encouraged to engage in interdisciplinary collaboration and communication. We are looking
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
qualification equivalent to a Master’s degree in Chemistry, Mathematics or Computer Science by the start of the PhD; A curious mind-set and strong background in quantum crystallography and its underlying
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We are working on creating a new type of Radio-Frequency Integrated Circuit technology based on optically induced plasmas in silicon to create photo-conductive switches. This combines low-cost lasers with silicon integrated circuits, fabricated in-house, to make best-in-class switches,...
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to how well they meet the following criteria: A first class (or strong 2:1) degree in any of Engineering, Materials Science, Computer Science, Physics, Biology/Biotechnology, Chemistry/Biochemistry
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and specific competences: Essential qualifications A master’s degree (120 ECTS or equivalent), completed by enrolment, in computer science, electrical or computer engineering, robotics, machine learning