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Doctors team with the management of non-human primate cohorts for arbovirus surveillance in the wild through data collation and analyses, (4) conduct epidemiological modeling and analytics for data
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biophysics, and cutting-edge analytical technologies. Your expertise in optical microscopy, single molecule imaging, computational imaging and data analysis will help us further develop mass photometry and
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culture at NYUAD. Participate in cross-disciplinary projects at CITIES, connecting data systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in
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analysis with AI. Position Specific Responsibilities/activities: Research and development relevant to ML, AI and big data analytics. Applications of advanced technologies in cybersecurity, anomaly detection
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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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data reflect real‑world disease phenotypes. Advanced analytics: apply AI and machine‑learning techniques (e.g., graph neural networks, multimodal transformers) to uncover novel biomarkers and generate
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and clinical partners Contribute to the development and evaluation of analytical methods for processing and modeling EEG data Take the lead in writing scientific publications and presenting
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actual data Participate in writing up the results and submission for scientific publication Collaborate with and mentor doctoral students engaged in the projects Other duties as assigned Adaptability
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new models that integrate EO data and advanced technologies such as AI into macroeconomic and socio-economic frameworks. Main research topics: conduct a global macroeconomic analysis of the global Earth
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engineering) High level of analytical and problem-solving capability Ability to communicate complex information with clarity and to encourage the commitment of others Experience of research with clear