1,103 data-"https:"-"https:"-"https:"-"https:"-"https:"-"INESC-TEC" Postdoctoral positions in United States
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, develop, and assemble advanced spectrometers; synthesize and characterize novel materials; initiate and conduct research; gather, analyze, and interpret data; connect with contemporary research activities
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experiments and data analysis contribute to writing proposals and papers contribute to training and supervision of graduate and undergraduate students Work Schedule varies based on assignment Driving University
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variety of cutting-edge research in time-domain astrophysics, including the development and implementation of machine learning, statistical and data-driven algorithms to study exotic transient phenomena
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of mass spectrometry proteomics, including instrument set-up, sample preparation, data acquisition, and data analysis. Experience in preparing human tissues for downstream protein analyses, especially
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, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status and all other protected classes under federal or state laws. If you need a
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facilities with relevance to critical materials and nuclear reprocessing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical reports for sponsors, and attend and
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Posting Details Position Information Posting Number PG191554PD Position Number 00111617 Position Type Post Doc FLSA Exempt Departmental Information Department ID 230101 - Interdisciplinary Programs
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marketing and novel tobacco product use in Appalachian Kentucky, and how FDA regulations may affect patterns of use for conventional and new products among young adults across levels of rurality. Data will be
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techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne
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modeling approaches. • Investigate interactions between food products and paper-based packaging materials across diverse product categories. • Collect, process, and analyze experimental data, including