120 computer-programmer-"Prof"-"Washington-University-in-St"-"Prof" positions in Switzerland
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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 research focuses on the retrieval of snow and ice parameters and their dynamics using multimodal Synthetic Aperture Radar (SAR) observations. The aim is to explore two scientific topics within the cryosphere domain. The first topic involves analyzing SAR interferometry to generate time...
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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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. Profile The ideal candidate will be a computer science student or a student with extensive practical programming experience. Interest in the social sciences and law is a big advantage. Workplace Workplace
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if required. Proven ability to independently plan, execute, and troubleshoot NGS experiments. Strong multitasking skills with the ability to manage and prioritise multiple parallel tasks effectively
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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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Education & Background: A Master’s degree (ETH, university) in engineering, computer science, or a related field A strong academic record, meeting ETH Zurich’s PhD admission requirements Technical skills
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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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-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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application of deep learning models. Experience with data pipelines following FAIR principles, with skills in compressed sensing, image noise reduction and big data management, cloud computing, high performance