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the fields of cloud computing, computer networking and immersive systems to develop elastic and cost-efficient cloud-based AI pipeline to tackle climate change and support sustainability. Some of the tasks
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the fields of cloud computing, computer networking and immersive systems to develop elastic and cost-efficient cloud-based AI pipeline to tackle climate change and support sustainability. Some of the tasks
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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computer graphics. Great emphasis will be placed on personal qualities and suitability. Your workplace You will belong to The scientific visualization group that is a part of Media and Information
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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and estimation Multi-agent planning and cooperation Communication-aware coordination strategies Learning-based control in networked systems Resilience and safety in multi-agent systems
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computer systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications. Project description As a doctoral student, you will be
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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; however, such tests are not always economically feasible. As a result, several studies have explored simpler methods to estimate SP values using index tests. These studies, however, are typically based