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Computer Science (or equivalent experience) Strong team player with a structured, reliable, and proactive mindset Adaptability and agility in a dynamic environment, with a pragmatic approach to problem
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. Some technologies may be learned during the project, but solid Python skills and hands-on experience with graphs and GNNs are essential. Degree in computer science, software engineering, data science
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following fields: reactive magnetron sputtering, electron-beam lithography, theory of light-matter interaction, computer simulations using the method of Finite Differences in the Time Domain (FDTD
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to own backend, data layer and frontend as one coherent system (upload data, run scoring, show ranked results). Degree in computer science, software engineering, data science, machine learning, or an
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nearing completion of) in computer science or a closely related field Background in programming languages, formal methods, or networking Research experience in one or more of: language design and
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software engineers to identify risks early and ensure meticulous, high-quality deliverables Profile Master's degree in Computer Science, Electrical Engineering, or a related field, from an accredited
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), designing systems that are resilient and easily maintainable in an automated context. Required skills / experience: Computer Science degree, or software development skills acquired through hands-on
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evaluation failures. Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience
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user communities Profile Higher degree in computer science or education deemed equivalent; experience in the field Excellent technical knowledge of systems programming, and strong programming ability in
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possibility of extension for another two years. The successful candidate will be working in an internationally leading center in probability and stochastic analysis, with opportunity to interact with