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to engage with the eBird Status and Trends modeling team, access to high-performance computing resources, and opportunities to collaborate with researchers from other programs at Cornell University. In
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have access to raw eBird data (> 2 billion observations) and the ability to engage with the eBird Status and Trends modeling team. We will also provide access to high-performance computing resources and
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research. The research team has access to more than 100 generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities
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science with emphasis on process development Knowledge of fabrication and operation of high pressure systems Computational competences with MATLAB and COMSOL Fluent in English, both written and spoken
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on process development • Knowledge of fabrication and operation of high pressure systems • Computational competences with MATLAB and COMSOL • Fluent in English, both written and spoken • Experience in working
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of large and multidimensional datasets High Performance Computing (HPC) Low temperature physics High magnetic field physics Synchrotron and neutron facilities X-ray scattering Compensation and Additional
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Statistical and/or machine learning approaches to weather prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration
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prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration with industry partners in climate risk assessment
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in conducting experimental, computational, and comparative work to understand how changes in gene expression underlie insect diet specialization and sequestration. They will be expected to come to
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"Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data