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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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collaborate with leading researchers and experts from several universities and the Visualization Center C. The work offers opportunities to publish internationally and develop cutting-edge expertise in AI and
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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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application! Work assignments This position is divided into two primary responsibilities: Instrumentation and User Support at MAXPEEM (approx. 50%): Take a key role in the development, maintenance, and
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, both over the wireless interface and within the core network, will be driven by AI and machine-learning applications. This research will develop efficient communication strategies to support
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candidates recruited from 9 European countries. STEM-CORE, supported by the Marie Skłodowska-Curie Actions (MSCA) programme, aims to explore strategies to develop stem cell therapies and biomaterials, laying
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. The role involves contributing to this research project with a focus on model development, implementation, and testing. Further tasks involve dataset curation, analyzing results, and the creation
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; Conservation Biology; Zoology, Ethology and Animal Welfare; Evolution and Genetics; and Cell and Microbiology. You can read about the workplace here:https://liu.se/en/organisation/liu/ifm/biolo The employment
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Instrument responsibility The person we need The person we need has a PhD degree in a relevant field. You need to have documented experience in ring-opening polymerisation and method development for chemical
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and teaching fields: Ecological Modelling; Conservation Biology; Zoology, Ethology and Animal Welfare; Evolution and Genetics; and Cell and Microbiology. You can read about the workplace here:https