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future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed publications and develop computational methods
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: genetics, epigenetics, inflammation, metabolic pathology, autoinflammatory pathology, autoimmunity, arthritis, computational analysis, mathematical modeling, applied algorithms, machine learning in biology
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maintenance planning, hydro reservoir planning and storage cycle budget allocations. You will join a dynamic team of researchers developing cutting-edge computational tools to design and operate the next
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fact (e.g. known enhancer-promoter interactions) and in human population genetics (GWAS, QTLs). You will lead the design and implementation (querying, extension) of the Federated Disease Knowledge Graph
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8 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Mathematics Researcher Profile Recognised Researcher (R2) Established
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applications for a Postdoctoral Research Associate in Transportation Systems Modeling, Computing, and Cloud-Based Mobility Analytics Platforms as part of the CTECH Postdoctoral Fellows Program. This position
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, computer vision and machine learning algorithms. · Information dissemination and decision-support services · Policy related analysis and investigation · Previous interactions with transportation funding
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predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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development. * Implementing computationally intensive algorithms on high-performance computational clusters. * Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target