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photonics in a young and dynamic team. Excellent infrastructure through the cleanroom at EPFL, the Lausanne center for ultrafast science, and the Quantum Science Center at EPFL. Competitive salary
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background, and an outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field. You should be proficient in or willing to learn generative deep learning – in
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Computer Science, Electrical Engineering, or related field. Strong proficiency in C/C++ and Linux Systems Programming . Experience with Embedded Linux and Kernel drivers. Bonus Skills (Nice to have
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verified formally. You will publish and present your work internationally. You are the ideal candidate if You hold a PhD in mathematics, computer science or a related field You have a strong background in
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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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of Engineering, School of Life Sciences and School of Computer and Communication Sciences, are strongly encouraged. The candidate’s ability to teach STEM subjects and/or bioengineering topics will be