225 computer-programmer-"https:"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:"-"CNRS" positions in Switzerland
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responses approximate human behavior. The project involves a collaboration between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain
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content. You will also compile the event program booklet. In this role, you will maintain regular communication with your colleagues at CEMETS and the Chair of Education Systems. The position is starting as
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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integral partof your work, you will publish your results in peer-reviewed journals and present them at international conferences. Profile You meet the requirements for a doctoral program at ETH Zurich and
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Transcriptomics Specialist (this position); Image Analysis Specialist; Computational Neuroscience and Data Analysis Specialist. These positions will work closely together and will support a broad user base across
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agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
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Your profile PhD applicants must hold a Master's degree in computer science, mathematics, or electrical engineering, with demonstrated strength in either practical implementation or theoretical
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, including transcript if currently enrolled in MS program Contact information for 2-3 references Please note that we exclusively accept applications submitted through our online application portal
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demo and pilot a success that builds confidence, trust, and long-term customer relationships. Your Contribution Plan, organize, and execute customer demonstrations and pilots, including equipment
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood