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subsidies for children, are offered. Resposibilities: In this role, you will write and test pipelines for astronomical data analysis, analyze multi-wavelength astronomical data from black hole and neutron
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this role, you will write and test pipelines for astronomical data analysis, analyze multi-wavelength astronomical data from black hole and neutron star X-ray binaries and related objects, and obtain new data
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. Work closely with Co-Applicants, Centre PIs and other collaborators in multidisciplinary, multi-group project teams, across the Centre to deliver programme, project and budget management for industry
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data.You will take ownership of the implementation and optimization of ML-driven models in our antiviral screening pipeline thereby unlocking the full richness of the multi‑parametric data using advanced AI
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Contract: Full-time (35 hours per week), Open-Ended Role Description This is a unique opportunity to work alongside partners in a community at the center of marine energy development. More wave and
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of the sensor infrastructure itself using reverse estimation techniques.; The fellow will collaborate with the Robotics and Autonomous Systems Center team on the development, integration, and validation
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supervisor:Dr. Paolo Giusto (MPIKG, https://www.mpikg.mpg.de/2d-covalent-thin-films-for-energy-storage ) Co-supervisor: Dr. Rosalia Cid (CICE, https://cicenergigune.com/en/rosalia-cid-barreno ) Co-supervisors
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Description The Center for Interdisciplinary Data Science and AI (CIDSAI) at NYU Abu Dhabi is a cross‑disciplinary hub where mathematicians, computer scientists, engineers, and social scientists
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evaluation. The nature of these challenges evolves as the policy process progresses. Addressing these challenges requires methods explicitly designed for framing, analyzing, and structuring ill-defined, multi
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monitoring, biobanking, AI-based analysis, multi-omics, and experimental cell and animal studies to understand mechanisms, biological heterogeneity, and treatment response in traumatic brain injury and other