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Field
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scales. Specifically, the researcher will join a team of energy modelers at the Andlinger Center and partner institutions to couple a global integrated assessment model with a high-resolution subnational
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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. Job context: The Postdoctoral Research Associate position is based in the Department
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learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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-EM sample preparation, data collection, and high-resolution structure determination • Process and refine complex cryo-EM datasets using strong computational skills (RELION, cryoSPARC, etc.) • Conduct
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), including data analysis and some modeling. Work with others to maintain a high level of scientific productivity; the job holder will interact regularly with senior scientists, program managers, and group
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tomography will also be developed. This work will be performed in the laboratory of Prof. Mark Anastasio. The successful candidate will have proficiency in high performance computing, experience with numerical
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human patients. The applicant should have strong background in neuroscience and/or cell biology, biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
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generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities to collaborate with leading AI companies, such as Anthropic and
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refine research directions. ● Perform simulation studies and real data analyses using high performance computing resources. ● Support for grant application. ● Prepare draft manuscripts, assist