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doctoral candidate on the MSCA-DN DETECTIVE project. For rapid control of virus outbreaks, fast availability of antivirals is a major bottleneck. In DETECTIVE, innovative models will be used for setting up
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innovations. The Pediatric Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Data and Computing Technician to build and
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on open-source European Large Language Models and advanced Retrieval-Augmented Generation (RAG) architectures — as the central enabling technology for occupational health and safety management
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 4 hours ago
week. Course Description: A variety of statistical models which are useful for the analysis of real data are discussed. Topics include: generalized linear models, such as logistic regression and Poisson
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advanced experimental models to investigate these processes. The work integrates human cell-based models, advanced 3D multicellular systems, molecular and functional characterization, and omics-based
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laboratory in the Department of Neurosurgery at the University of Michigan Medical School. Using a combination of in vitro and in vivo modeling, analyses of clinical brain tumors samples and multi-omics
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, functional genomics, and in vivo disease modeling to determine how genetic perturbations alter auditory function and to identify opportunities for therapeutic intervention. The successful candidate will play a
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, network-based risk-sharing models, and the application of statistical and machine-learning methods to evaluate and predict risk reduction. The position may also involve preparing figures, tables, and
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of institutional priorities, and owns tuition/revenue modeling, compensation and position planning, budget policy, and university-level financial scenario modeling. The position reframes resource
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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource