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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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Raman spectroscopy and mass spectrometry-based proteomics, along with cutting-edge machine learning approaches, to enable timely identification of high risk for the chronic wound formation Coordinate
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multiscale processes, as well as in developing and using innovative scientific computing techniques (including HPC, machine learning, multiscale algorithms). It also has excellent experimental infrastructures
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processes, as well as in developing and using innovative scientific computing techniques (including HPC, machine learning, multiscale algorithms). It also has excellent experimental infrastructures (including
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experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in statistical machine learning, deep learning, and graphical modelling
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from the machine learning domain to improve data analysis You will be responsible for project meetings, reporting, scientific publications, and conference/seminar presentations You will supervise master
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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab at ETH Zurich is looking for another PhD student. Our research will be focused on multi-modal signal processing for learning-based
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80%-100%, Zurich, fixed-term Prof. Dr. Carlo Menon, Professor at ETH Zurich and Director of the Biomedical and Mobile Health Technology Lab , is looking for a postdoctoral candidate with expertise
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will be involved in developing a new service for circular information management for construction elements and reality capture in existing buildings using computer vision and machine learning. It
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candidates should have Solid working knowledge of software tools and environments for application deployment, optimization, and performance analysis Background in modern machine learning models, such as