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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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, Environmental sciences, or a closely related field. Proficiency in programming, particularly in Python, is essential. Knowledge of GIS (QGIS or ArcGIS). Experience working with spatial data, shapefiles, raster
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degree in physics, computer science, mathematics, computational neuroscience, or related fields. Extensive knowledge of dynamical systems theory. Excellent programming skills in Python. Previous experience
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computational science, computational biology, applied mathematics, physics, or a related field Strong, documented experience in C++ programming and solid software engineering skills — applicants should clearly
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biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite
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, or related disciplines, and bring experience in several of the following areas: Peptide synthesis Mammalian cell culture Protein biochemistry Mass spectrometry Bioinformatics and programming A
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-research/working-environment/family/childcare.html) and attractive pension benefits (https://www.publica.ch/en/about-us/pension-plans/eth-domain-pension-plan) > Working, teaching and research at ETH Zurich
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FAQ Short Grants Apply for Grants: FAQ Close Menu Engagement back Overview PageEngagement Awards Knowledge exchange Action plan 2025/26 back Action plan 2025/26 Empowerment GROW Guidelines & Quality
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practical programming experience. German language skills are a plus, as the retrieved documents will be written in German. Experience with Large Language Models (LLMs) and/or RAG deployment, for example with
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) Ability to present results to different audiences (technical, non-technical) Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language 1-3 years of data science