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that influence the development, intensification, and persistence of extreme events, using observational datasets, machine learning, and Earth system modeling. The successful candidate will work with observational
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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration
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independently and in a team A focus of research in one of the following areas is desirable: Language ideologies Literacy development Digital practices Coding and/or machine learning We further expect you to have
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: You will be part of the research team learning about developing recombinant Marek's
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qubits and next-generation quantum sensors. AI Integration: Collaborating with AI experts to integrate machine learning and autonomous agents into the crystal growth and device development workflow
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: Computer programming skills Your Benefits At Helmholtz-Zentrum Berlin, you will benefit from state-of-the-art research facilities, and a wide range of benefits to support your scientific career: Work as part
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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, national origin, ethnicity, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke University aspires to create a community built on
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with in vivo electrophysiology and/or calcium imaging data collection and analysis. Experience with machine learning–based behavioral quantification (e.g., DeepLabCut, MoSeq). Experience with MATLAB
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with Prof. Mauro Maggioni on problems that include: analysis and algorithms on graphs, geometric analysis of high dimensional data sets, dynamic data sets, scientific machine learning, high-dimensional