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Postdoctoral Associate Early Childhood Cognition Lab at Duke / Dr. Tamar Kushnir Department of Psychology and Neuroscience Overview The Early Childhood Cognition Lab at Duke’s (http://www.ecclabduke.com
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interacting with a team of researchers from several universities. Knowledge of advanced statistics and experience working with MPlus, SPSS, R, and other statistical packages is required. Experience using large
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related dementias in Asia, and advancing our knowledge to better inform the design and targeting of person-centered community-based dementia care services. The scope of research involves the quantitative
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no more than two years prior. Knowledge, Skills, and Abilities Additional Information Professor Mallory SoRelle (PI) invites applications for a one-year position for a postdoctoral associate with interest in
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Polarization Lab for scientific research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses
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; Four (4) years training in wireless communication / remote sensing; knowledge of Zak-OTFS modulation preferred Experience- Experience with OFDM modulation required Skills- Programming skills in MATLAB
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partnerships with local Duke EM partners. •Strong quantitative skills in the areas of biostatistics, bioinformatics, and/or epidemiology. •Strong programming skills (R or Python preferred). •Knowledge
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addressing critical knowledge gaps in Climate and Non-Communicable Diseases. Projects must demonstrate interdisciplinary approaches. The preliminary description of the research project is: The fellow will
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the grit and determination required to persevere in their careers and their lives. Pratt is dedicated to the values of diversity, equitability, inclusivity and community in its pursuit of knowledge and
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to support your career goals and provide access to state-of-the-art facilities. Candidates with background knowledge and hands-on experience in transcriptional regulation, 3D-organoids and bioinformatics