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Field
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degeneration using knock-in models of inherited retinal diseases, and contributing to the development of novel therapeutic platforms. The successful candidate will conduct independent and collaborative research
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and manipulating complex data structures, Bayesian modeling, analyzing nested longitudinal data, and who are familiar with techniques for handling challenging data (e.g., highly non-normal distributions
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, physical modelling experiments, field investigations, and/or numerical modelling. The specific focus area for the research can utilize any of these tools, or their combinations, and will depend
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using knock-in models of inherited retinal diseases, and contributing to the development of novel therapeutic platforms. The successful candidate will conduct independent and collaborative research
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as instructed. Purpose As a part of a multi-disciplinary, integrated research team, the candidate will participate directly in efforts to ground deformation assessment and numerical modeling of ground
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
-of-the-art research infrastructure, including resources such as: UNH Sustainability Institute John Olson Advanced Manufacturing Center School of Marine Science and Ocean Engineering Carsey School of Public
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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access to the beaches on both the Atlantic Ocean and Gulf of Mexico, as well as nearby destinations like Orlando, Tampa, and world-class theme parks including Disney World. Please send all inquires and
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is part of the newly funded Research Council of Finland project Redefining Inner Boundaries in Solar Wind Models (RIB-Wind), led by Dr. Stephan G. Heinemann. The preferred start date is October 2025
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in the areas of long-term care, whole-person care models, and caregiver support. Minimum Requirements: Eligible candidates should have a doctoral degree (Ph.D. or equivalent) in any of the following