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research; Experience with quantitative data analysis and proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to
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management and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in
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institutional regulations. Project background Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet
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advanced computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive
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Information Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment
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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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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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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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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