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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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application! We invite applications for a fully funded PhD student position to join the research group of Andrew Winters to work on challenging problems in Computational Mathematics for accurate and reliable
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for Sciences (SAINTS) Lab (co-supervisor: Assistant Professor Raghavendra Selvan ) at the Department of Computer Science of the University of Copenhagen in Denmark. We will strive for a tight collaboration
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formation and how local dose is distributed. In the longer perspective, this knowledge will support optimization and translation of bioelectronic implants towards clinical application. In this project, you
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This PhD position is placed in the GreenPolChem-group (supervised by Associate Professor Peter Olsén). The GreenPolChem is located in the Pronova Chemistry Lab, at the Laboratory of Organic Electronics (LOE
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distributed computational pipelines and optimizing communication costs. You will also contribute to the integration and testing of the models in real D-MIMO environments, in close collaboration with a PhD
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methods that reduce compute, energy usage, memory and storage demands, and associated carbon emissions while aiming to maintain model quality. Your work will include developing new methodologies and
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profound interest in fundamental research. Great importance will be placed on personal qualities and suitability Your workplace This PhD position is placed in the GreenPolChem-group (supervised by Associate
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dynamics. Particular emphasis is placed on opinion dynamics as well as distributed problems in coordination, optimization, and learning. The research encompasses both theoretical and computational aspects
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precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related