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developer with a strong background in scientific computing who is eager to lead a development team, drive innovation, and explore commercial opportunities arising from our research. The position is linked
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on the following activities: Writing scripts for the automated collection and cleaning of data, and organizing it into a database Computing simple statistics Preparing graphical representations Testing surveys
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80%-100%, Zurich, fixed-term As ETH's central hub for artificial intelligence, the ETH AI Center brings together researchers of AI foundations, applications, and implications across all departments. We foster research excellence, industry innovation, and AI entrepreneurship to promote...
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University of Geneva, School of Mathematics Position ID: 3439 -PASTPAS [#26738] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Genève, Geneve 1211, Switzerland [map ] Appl Deadline: 2025/09/30 11:59PM (posted 2025/07/08, listed until 2026/01/08) Position...
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100%, Zurich, fixed-term The research group of Prof. Müller, Laboratory of Energy Science and Engineering at ETH Zürich is looking for a highly motivated candidate with a strong expertise and interest in the development of heterogeneous catalysts and their in-depth characterization. Generally,...
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degree in the fields of transportation, civil engineering, computer science, urban analytics, spatial planning, geography, geoinformation, psychology or an equivalent qualification. Experience with first
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ETH Zurich, Office for Faculty Affairs Position ID: 2253 -PROF2 [#26726] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Zurich, Zurich 8000, Switzerland [map ] Subject Area: Mathematics - Probability Theory Appl Deadline: 2025/09/15 11:59PM (posted 2025/07/04,...
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, optimized for high-performance computing (HPC) environments. Classifying ice crystal habits using Convolutional Neural Networks (CNNs). Providing intuitive graphical interfaces for user interaction and data
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting