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students, housing policies to increase neighborhood quality, the responses of high-achieving low-income students to financial aid, and race trends in economic mobility. Work is done using multiple social
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Research & Development – love to be in the laboratory and aim to set up experimental facilities. You have experience and/or willing to learn hands-on cell testing via electrochemical characterisation (i-V
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learning environment. Your main tasks will be: Establishing models of B and T cell priming in human lymphoid organoids. Performing characterization of organoids and primary samples with flow cytometry and
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immunological memory within the group of Prof. Mascha Binder. Dr. Adamo's research focuses on the study of human B and T cell memory in the context of infection, vaccination and cancer. Research in the Binder
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PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis for synthesis. A doctoral position is
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health profiles. The project uses spatial analysis and GIS, including network-based walkability modelling with OpenStreetMap, large-scale human mobility analysis with anonymised Call Detail Records and
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spanning a broad range of research areas in biostatistics, machine learning and epidemiology and numerous collaborations with leading bio-medical research groups internationally and in Norway. OCBE is a
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Machine Learning at the University of Oslo invites applications for a doctoral research fellowship. The PhD candidate will work at the interface of machine learning, statistics, probability, and with
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Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 12 days ago
will train a new generation of researchers at the interface of wave physics, acoustics and engineering. Through interdisciplinary research, international mobility and close collaboration with industry
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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI