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Field
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interferometric detectors at Hanford, Washington and Livingston, Louisiana, which have made the first confirmed detection of gravitational waves. A vigorous LIGO Laboratory R&D program supports the astrophysical
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Duties Designs and conducts histology and imaging analysis in animal models. Uses computational tools (R, Python, BLAST) for data analysis. Writes research papers for peer-reviewed journals. Presents
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(such as Seurat, Scanpy, etc.) Proficiency in R or Python for statistical computing and visualization Familiarity with dimensionality reduction techniques like tSNE, UMAP, PCA Experience with multicolor flow
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computational tools such as R and UNIX is essential. Experience with handling of laboratory animals is preferred. Preferred Schedule: Between 7am to 5pm Position Requirements: Minimum Qualifications: Minimum
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biology education research and teaching in biology or pedagogy Desired: Experience in quantitative research methods focusing on biological teaching and success; experience with SPSS, R, Qualtrics, and
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. Strong background in neuroimaging techniques (e.g., MRI, PET) and computational modeling. Proficiency in programming languages such as Python, MATLAB, or R. Experience with image processing tools and
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, Psychology, Cognitive Psychology or a related field. Extensive experience with computational cognitive models is required. Experience with the ACT-R cognitive architecture, with applications to cybersecurity
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, including proficiency with statistical software (e.g., SAS, R, or any other statistical software). -Demonstrated ability to manage and analyze large datasets. Application Instructions Applicants should submit
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learning and AI methods are preferred Strong skills in R and/or Python. An interest in conceiving and designing new projects, in line with the groups’ research focuses. A proven track record showing
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judged from published papers or publicly available (e.g., arXived) preprints, will be given priority. Strong programming skills in R/Python/MATLAB with some knowledge of C/C++ will be preferred. Prior