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the genomic landscape of breast cancer using large scale tumor sequencing data. You can read more about the project on our website https://portal.research.lu.se/sv/persons/staaf-johan/. The research team is
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well as several associated partners (https://www.nnrc.uio.no/english/research-themes/rt-5/ ). The PhD candidate will be part of a dynamic and productive academic team with a large international network covering
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interests in English dialects, multilingualism, psycholinguistic experimentation, computational modeling or cognitive network analysis, or sociolinguistics is strongly desired. More information about the
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal
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the position as soon as possible: Scientist (m/f/d) The successful candidate will conduct the economic analysis of the impacts of modern site-specific sensor and application systems for fertilization in
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development. The Research Associate role is responsible for many assays related to the assessment of skeletal muscle growth and function, including muscle harvest, tissue processing, molecular analysis
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concepts Structure–property relationships in bio-based materials Advanced characterization techniques (e.g. NMR, GPC/SEC, mass spectrometry, thermal analysis, mechanical testing) Your PhD research will
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The Georgetown University Law Center's Information Systems Technology (IST) department is seeking a highly motivated Technology Operations and Client Services Senior Director to lead and support network
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https