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                ) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure 
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                The ETH AI Center offers a unique fellowship program for doctoral students, designed to foster interdisciplinary collaboration and a positive impact to society. The ETH AI Center promotes 
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                Background in high-performance computing (HPC) or cloud environments Comfortable working in Linux/Unix environments Advantageous qualifications: Development of parallel applications Strong Python knowledge 
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                across all departments and look at AI from many different angles like mathematical principles, medicine, architecture, robotics, and social sciences / future of work. We enable research of high quality 
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                and outbound prospects related to any outreach and sales activities for SNAI. Devise and implement sales formats enabling multiple prospects to engage with SNAI offerings in parallel (thematic events 
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                The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims 
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                . Scientific IT Services (SIS - a section with ITS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers 
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                multiphoton microscopy, you will explore the molecular and cellular mechanisms of foreign body reactions. In parallel, you will collaborate with engineers to design and test microgels with tunable surface 
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                experience in developing software for scientific applications, data analysis, or real-time systems is desirable. Experience with parallel computing and optimization techniques for handling large datasets 
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                to streamers or constitutes a broader feature of biofilm mechanical adaptation across different morphologies. This project will test these hypotheses through a combination of structural, biochemical, and