124 parallel-and-distributed-computing-"Multiple" positions at ETH Zurich in Switzerland
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dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within and between-host level (1 ,2
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20%-30%, Zurich, fixed-term The GenAI-R&D for Future-Proof Teaching group at the ETH AI Center (Zürich-Oerlikon) builds fully open-source systems aimed at transforming the way students learn and instructors teach. We focus on innovative tools such as chatbots, automatic problem generation, and...
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the MSc MTEC program. Access to a vibrant, interdisciplinary academic environment with excellent collaboration opportunities. You will be part of ETH Zurich’s network of educational specialists, providing
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10%-30%, Zurich, fixed-term The chair of Forest Resources Management (FORM) is seeking a motivated student to assist in the development of Deep Learning approaches for tree species identification. This project focuses on mapping individual trees and quantifying their species, which are critical...
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20%-30%, Zurich, fixed-term Our research team at KOF, ETH Zurich is seeking a student assistant to contribute to the project "Computing Resilience Indicators for Pharmaceutical Supply Chains
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
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on infectious disease dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in