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dedicated high-performance computing implementations. Technology transfer to magnetic resonance imaging in medicine is a secondary target. Key Duties and Responsibilities The postholder will develop new image
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-technical audiences and engage in stakeholder or end-user consultation. DESIRED CHARACTERISTICS: Demonstrated experience in models of opinion dynamics, Bayesian reasoning models, natural language processing
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patients with cancer; to identify and validate predictive biomarkers of clinical outcomes in cancer; and perform meta- analyses using the Bayesian framework. The projects will lead to both collaborative and
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Abu Dhabi utilizes the concepts of molecular/ionic recognition coupled to self-assembly for the fabrication of multi-functional materials. The Post-Doc will execute a research project targeted for
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CENTD, a multidisciplinary center studying molecular targets of inflammatory diseases, isoffering a postdoctoral position for 12 months. The project aims to identify and validate newpharmacological
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development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
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patient-derived xenograft (PDX) models to discover novel therapeutic targets and biomarkers. The postdoc will have access to state-of-the-art facilities, multidisciplinary collaborations, and opportunities
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on engineering nanoparticles for more targeted laser therapeutics and exploring new drug discovery for pediatric high-grade gliomas using connectivity mapping. Additionally, we are actively involved in
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) Experience of working with multiple stakeholders in complex systems. Experience in large scale simulations Experience in Bayesian methods Experience using CRAFTY agent based model Full details of the role and