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controlling their underlying specific functionalities and the structure-properties relationship acting over multiple length scales from the molecular, nano to the macro level and their cross-interactions and (c
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the environment interact to shape host-pathogen dynamics and disease outcomes?” and then, use this information, to answer, “how can we modulate these relationships to shift disease outcomes and promote
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analytical or computational models and simulations. An ability to conduct research and produce scholarly outputs as demonstrated through publications in peer-reviewed journals. Familiarity is expected with
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) Application Deadline 27 Aug 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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for Energy, Environment and Sustainability *Optical Materials and Light Matter Interactions *Quantum Materials Science Qualifications A PhD in Materials Science, Optics, Physics, Chemistry, Electrical
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. Current research areas include mosquito-arbovirus interactions, sexual transmission of arboviruses, neuropathogenesis of viral strains using human organoid models, antiviral immune responses independent
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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
We are seeking a motivated postdoc to join our growing team in the Yale University Department of Genetics. Our lab uses experimental and computational methods to investigate cellular and health
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applying AI/ML models to predict cis-regulatory elements in plant genomes and uncover mechanistic insights into protein-DNA interactions. (2) Developing and applying computational methods to infer gene
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of hydrologic processes, transboundary/shared water resources management, and coupled human–natural systems. Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine
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societal contexts. Through advanced computational methods and collaboration, HELM addresses global challenges by blending eco-social health determinants, human-natural system interactions, and convergence