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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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methods, which could include but are not limited to: Kriging surrogate, Polynomial Chaos Expansion (PCE), and Physics-Informed Neural Networks (PINNs) Contribute to the strategic direction of research
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publications Evidence of comittment to reproducibity in bioinformatics through the use of Code Repositories Evidence of ability and experience in handling large DNA datasets A strong desire to contribute
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into the teaching activities in the professorship based on your research progress You will have access to research and travel funding, an international network of collaborators, and the wide variety of ETH career
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You will have access to teaching assistants, research and travel funding, an international network of collaborators, and the wide variety of ETH career development resources The working language is
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data or urban mobility patterns Good German language skills (at least B2) Experience with collecting own data (e.g. questionnaires; measurements) Experience with developing networks with stakeholders
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) ENDOTRAIN is a Horizon Europe Doctoral Training Network dedicated to transforming the diagnosis and management of adrenal disorders through cutting-edge digital tools. ENDOTRAIN will train a new generation
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extraction, alignment, QC metrics, drift/batch correction) and reporting. Advance annotation strategies using modern approaches such as spectral/structure fingerprinting, molecular networking, in-silico
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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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, segmentation), physics-informed neural networks, and having worked with large datasets are assets. An innovative spirit and team player skills round off your profile. We offer We are a dynamic and international