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Field
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of treatments on these patient models Informatics analysis and interpretation of results from clinical trial patient samples, and in vitro or in vivo assays (genomic sequencing, RNA sequencing) Use of spatial
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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science, engineering, mathematical physics, or related disciplines) Related Skills & Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and
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computational scientists. The Opportunity: Develop and apply advanced in vitro and in vivo models to investigate tumor suppressor function and cancer signaling pathways. Leverage cutting-edge technologies
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historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex
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for Computational Biology (CCB) of the Simons Foundation's Flatiron Institute is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its Biophysical Modeling Group
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About us We are seeking a talented and ambitious Research Fellow to join a groundbreaking interdisciplinary project at the intersection of computational biology, ecology, statistical modelling and
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will conduct cutting-edge research at the intersection of AI/DL modeling, hydrological sciences, and weather/climate sciences, with a focus on applications to extreme weather forecasting (hurricanes
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within and beyond the University. We are looking for a Research Fellow to research on the areas of Robotics and AI using advanced modeling and simulation. Key Responsibilities: Development of a quality
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& Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis