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biology, physics, computer science, and engineering. For more information about the Dubochet Center please visit our website: https://dci-lausanne.ch/ . Informations Only applications submitted through
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Physics, Optics, Micro-/Nanotechnology, Materials Science, Energy, or a related quantitative field A strong background in several of the following fields: theory of light-matter interaction, computer
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regular faculty, and gradually progresses to the latter. Instructors are expected to be able to teach courses in English or French. Applicants should have a PhD in Mathematics or in Computer 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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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
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field. You have a strong background in programming (Python, C++, matlab, etc), robotic control and usage of machine learning techniques. Experience with Linux and ROS / ROS2 framework is strongly
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skills. Prior experience with TFLN is desirable but not mandatory. Strong simulation skills in Python, Matlab, Labview, Inventor, Illustrator, Tidy 3D, CST Microwave studio and Comsol. Analytical
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(20%). Profile An excellent MSc degree in Computer Science, Energy Science, Social Sciences, Environmental Sciences, Sustainability Science, Geography, or a closely related interdiscipline. A strong
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international universities. CANDIDATE PROFILE We are looking for a PhD candidate with a strong analytical background and an outstanding MSc degree in Computer Science, Robotics, Chemical/Process
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, Python, GIS, image analysis or remote-sensing software is an asset • Self-motivated, independent and collaborative mindset, with a high level of rigor for academic research • Excellent