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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 21 hours ago
orbital dynamics using analytic and numerical methods, (2) planet formation theory, (3) exoplanet architectures and demographics using statistical methods, and (4) planetary interior/atmosphere modeling
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Model. Adv. Sci. 2025, 2500400. https://doi.org/10.1002/advs.202500400 Research Area Applications are invited from outstanding candidates with expertise in molecular biology, biotechnology, and/or
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pursuing an academic career that follows a teacher/scholar model. Read more about the program . The Teaching Pathway Postdoctoral Faculty position is for two years. Postdoctoral faculty teach courses in
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to model eye development and associated disorders, with a particular interest in photoreceptor biology. Key Research Areas: Differentiation of human pluripotent stem cells into retinal tissues Retinal
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urban structures * Urban informatics applications for sidewalks analysis ** Candidate Qualifications: * PhD in Physics, Math, Computer Science, Engineering, or a related field. * Strong background in
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occasionally present papers and posters, and represent the research group at external meetings/seminars, either with other members of the group or alone. You must hold, or be close to completion of, a PhD/DPhil
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solutions. • Topic (tasks): Creation of LCA and TEA models on technologies for the decarbonization of ammonia production; Providing recommendations to decision makers based on modeling results; Collaborations
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initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product
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Alzheimer’s, Parkinson’s and Huntington’s disease. Postdoc will work with Drosophila models of these disorders using genetic, statistical, biochemical and other molecular approaches. This will require working
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language processing and computer vision reveal the even greater potential of general-purpose foundation models. These models, pre-trained by SSL on diverse datasets and fine-tuned for specific tasks, offer superior