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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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, robust event detection, and modeling shifts across sessions and users. Job description Develop machine learning pipelines for time series processing with a focus on event detection and real-time
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We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning
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project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics” . The eDIAMOND project aims at developing new methods and systems for decentralized and distributed data-driven
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environment. Project background We developed the Design++ postdoctoral fellowship program to provide an opportunity for talented researchers who are interested in bringing promising technologies and solutions
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they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. In Roche’s Pharmaceutical Research and Early Development
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funds and published under the DORA principles. Lead a research group, coordinate its research with that developed by other groups of the Department, in compliance with legal and ethical regulations and in
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Your responsibilities will include hands-on product development, where you'll ship new features in a React and TypeScript front-end designed for both desktop and mobile users. You will also extend
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track. We then develop and evaluate a robust cannabis-driving detection model before and while driving. Ultimately, we are working towards a scalable digital biomarker platform for in-vehicle driver state
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the state-of-the-art of model-based planning support for transport and urban systems under uncertainty. The doctorate will develop new tools and methods that integrate large-scale agent-based modelling