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: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
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. About the research project As a post-doc in this project you will work on application of x-ray imaging towards thermoplastic lignocellulose based materials and be associated to the competence centre FibRe
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, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and enrich the knowledge base (i.e. learning by
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project As a post-doc in this project you will work on application of x-ray imaging towards thermoplastic lignocellulose based materials and be associated to the competence centre FibRe . The aim to advance
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analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
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that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service or similar circumstances, as well as clinical
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University is offering a postdoctoral scholarship within optical metrology linked to machine learning. The postdoctoral scholarship is full-time 6 months, beginning on October 15 , 2025, or as agreed upon
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the opportunity to: Acquire cutting-edge techniques for studying protein dynamics during ageing Explore fundamental biochemical mechanisms underlying the protein quality control of mitochondrially
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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clinical service, appointments of trust in trade union organizations, or similar circumstances. Doctoral degree should be within bioinformatics, machine-learning, computational biology, genomics, or a