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The Swiss Centre for Applied Human Toxicology (SCAHT) at the University of Basel is seeking a highly motivated Scientific Coordinator to lead and advance an International STakeholder NETwork (ISTNET
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Network Architectures based on the available system resources (e.g., communication, computation, energy). Communication-efficient knowledge exchange among networked federated large models. These research
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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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onboarding new startups to the ETH AI Center – from first contact through to official affiliation.Develop a strong local network to grow the affiliated startup community and strengthen entrepreneurial
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, multi-energy grids, and the integration of renewable energy and storage systems Your tasks In the framework of MSCA Doctoral Network (DN) Consumer Energy Demand Flexibility in Electricity Use (CoDEF
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recovery trajectories and injury patterns. Integrate personalized physiological measurements into a recovery prediction model, while adapting Bayesian Neural Networks for SCI data and analyzing the impact on
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of extension based on funding. Project background Scenarios for the future energy system provide insights for decision-makers on pathways to achieving net-zero emissions. These scenarios are developed by
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experience in JavaScript Knowledge of transport network planning Knowledge of human-computer interaction Knowledge of data visualization is a plus Strong analytical and communication skills Workplace Workplace
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projects by providing key technological resources, tools, and collaboration opportunities for the personalized health research community. Job description As a Site Reliability Engineering, you will be
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-made and natural features, such as cities, transportation networks, forests, and hydrological features. This is particularly important for urban planning, environmental management, and cultural heritage