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Field
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the nation, and around the world. Position Function The Department of Earth and Atmospheric Sciences at Cornell University is seeking a Research Associate to lead an innovative research program in AI, Deep
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advanced AI frameworks and the unique needs of the Advanced Research Computing Technology and Innovation Core’s (ARCTIC) user communities, fostering innovation by guiding researchers in implementing scalable
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), to examine the influence of environmental factors on brain activity. We also use computational methods, including machine-learning, natural language processing, and spatial analysis, to analyze large datasets
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challenge and translates research insights into real-world impacts through strategic outreach and training for the next generation of global energy leaders. EPIC’s pre-doctoral fellowship program serves as a
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of Mathematics at Cornell. Members of the lab engage in interdisciplinary research, drawing on approaches from geometry, topology, graphs and networks, probability/statistics, and algorithm design, in conversation
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education . Skills and personal qualities In addition to the aforementioned requirements for the position: A demonstrable computational competence, comfortable with using and developing algorithms, data
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research projects with an emphasis on image analysis and computational pathology and the development of AI-driven data pipelines. The ideal candidate is a motivated individual with strong programming skills
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Aarhus University invites applications for a postdoc position at the Department of Molecular Biology and Genetics. The project focuses on applications on de novo protein design and its applications
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Description NREL is seeking a postdoc to design, train, and analyze the AI/ML and control algorithms for hybrid energy systems including industrial systems, building controls, and advanced energy systems
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computational biology, computational medicine, statistical genetics, biostatistics, computational chemistry, computer science, physics, statistics, mathematics, or applied mathematics. Substantial coding