31 programming-language-"Data-driven-Materials-Modeling" Postdoctoral positions at EPFL
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scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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related field; Strong publication record in relevant venues; Solid programming skills in Python and a modern deep-learning framework Excellent communication skills in spoken and written English; Self
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collaborative working style, with excellent written and oral communication skills in English Experience in quantum materials is advantageous but not required; strong MEMS and instrumentation candidates
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English (French not required) We offer A stimulating research environment that encourages curiosity, innovation, and rigor. Opportunities to work on policy-relevant issues and connect with international
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, such as COMSOL or related opensource or commercial packages, would be considered an asset. Excellent written and spoken English is required. Knowledge of French is not necessary We offer A stimulating and
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. Proficiency in programming and statistics/data science. A genuine passion for music and a solid understanding of music. Fluent English and a collaborative team spirit. We offer World-Class Research: EPFL is a
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interest in contributing to both the conceptual and empirical dimensions of research Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the
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our expanding in vivo and ex vivo neuroscience program, we are seeking a motivated and experienced technician to assist with mouse work, surgical procedures, and primary neuron culture. Main duties and
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part of a collaborative team to plan and execute experiments Maintain knowledge of published developments in research field and recommend alternative strategies Plan and organize workload to meet project