13 phd-data-maining "Computer Vision Center" Postdoctoral positions at Linköping University in Sweden
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application! We are looking for a postdoctoral researcher to work on the fundamentals of knowledge graphs and virtual data integration. Work assignments You will actively participate and lead work tasks in two
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application! If you have experience in research on canine behavioural biology and are skilled at analysing large datasets, this position may be the right fit for you! Work assignments Your main tasks will be
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assignments Your main tasks will be to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog
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out in close collaboration with the institute RISE. LOE currently has ~150 researchers and PhD students divided into around 10 research groups, each led by a principal investigator. LOE is also a
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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Computer Systems (AIICS). Within our research laboratory, we develop machines that can reason and act in complex environments. Our primary research area is Automated Planning, which we complement with
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postdoc based at Linköping University (working with Tom Ziemke) will also collaborate with other Principal Investigators involved in the research group with expertise in human-robot interaction
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of performance and stability in Na- and Zn-based batteries. The work also involves data analysis, method development, and systematic documentation of research results. Furthermore, the postdoctoral researcher is
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biological matrices. Hands-on acquisition of SERS data from biologically and clinically relevant samples, including in vitro bacterial cultures, experimentally infected wound models, and clinical wound samples