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univariate and multivariate statistical analysis methods and with bioinformatics tools, including MATLAB, SIMCA, R, Python, MetaboAnalyst, KEGG, Ingenuity Pathway Analysis and other software related to omics
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neuropathies, age-related macular degeneration, diabetic retinopathy, inherited retinal diseases, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn
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a Linux environment. 3) Experience in one or more programming languages such as Python, Perl, C, or Fortran. 4) Experience in one or more molecular dynamics simulation software such as CHARMM, OpenMM
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conferences, and student awards/prizes in statistics (for instance) familiarity with statistical software, preferably with R and/or Python demonstrated ability to work independently and as part of a team with
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 14 days ago
. Computer programming in languages such as Python. Oral and written communication skills, including scientific and technical writing, experience writing scientific proposals. Collaboration and team-building
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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
, setup, execution, and data collection. Strong skills in quantitative and qualitative data analysis. Strong analytic and programming skills (e.g., Python, C#) with proficiency in statistics. Ability
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skills, preferably in Python, experience with JAX is a plus; You have experience with simulation-based or quantitative research; You have the ability to work independently and as part of a
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analysis tools such as R or Python is recommended. Excellent written and verbal English skills, strong communication and interpersonal skills, and be capable of working with large collaborative teams. Baylor
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, or a closely related field; A strong publication record in leading machine learning and/or computer vision venues; Excellent programming skills, particularly in Python and PyTorch; Excellent written