1,106 data-"https:"-"https:"-"https:"-"https:"-"CNRS" Postdoctoral positions in United States
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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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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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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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relevant field Experience: No prior experience required Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems
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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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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Arts 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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modeling approaches. • Investigate interactions between food products and paper-based packaging materials across diverse product categories. • Collect, process, and analyze experimental data, including
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, experience with or interest in modern techniques in high-dimensional data analysis such as mass cytometry, spectral flow, and RNAseq is strongly preferred. Physical Demands This is primarily a sedentary job