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historical CORONA satellite imagery Integrate multi-source datasets including GEDI LiDAR and GLOBE citizen science observations Apply cutting-edge geospatial and statistical modeling techniques to quantify
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, imaging informatics, and large language models (LLM) is preferred. This position will require collaboration with multiple stakeholders, including informatics experts, clinicians, basic scientists, and
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep
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manuscripts, and present findings at scientific meetings Mentor and train students in laboratory techniques and research methodology Expected Salary: Based on NIH guidelines and applicants experience. Required
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Computer Science, Geographic Information Science, Data Engineering, or a related technical field. Job
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Classification Title: Post-Doctoral Associate in Exoplanet Demographics Classification Minimum Requirements Must have PhD in Astronomy, Astrophysics, Physics, or other relevant space sciences
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protostellar evolution models to radiative transfer grids. The goal is to synthesize these protostar models into protocluster models and compare them to JWST and ALMA data. The applicant must have a Ph.D. in
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: Commensurate with qualifications and experience. Minimum Qualifications: Candidates must have completed all degree requirements for an accredited PhD, or equivalent international degree program. An international
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of soft materials, and mammalian and/or bacterial cell culture(s). Practical knowledge in high-throughput experimentation, confocal microscopy, and image analysis will be a plus. Must have PhD in Polymer
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induced by environmental exposure and endogenous metabolism contribute to cancer and aging related diseases. Must have PhD in chemistry/biology. This position will be initially awarded for one year, and