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; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly and contributing to publications and presentations; and
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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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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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element modeling, computational fluid dynamics). Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization. Experience in supply chains and hygrothermal
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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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Job Description Based at our offices in Vienna (in a hybrid working scheme) we are recruiting for a: Head of Medical Affairs, Switzerland/Austria Cluster - (f/m/d) About This Role: In this role you will steer our Medical Department in Switzerland and Austria, driving the execution of our medical...
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position (~4 years) in a great scientific and social environment at a world leading University (see below). The project will equally combine lab work and computational analysis of the acquired data and
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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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-read (Illumina) and long-read (Nanopore) platforms; implement hybrid metagenomics assembly strategies using high-performance computing infrastructure • Coordinate/supervise sample collection (clinical
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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