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, and PCR techniques. Proven experience using bioinformatic pipelines to analyze and visualize complex biological/genomic datasets. Demonstrated background in grant writing (e.g., NIH, NSF, private
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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methods in brain imaging, including MRI/fMRI principles, neuroimaging study design, preprocessing and analysis pipelines, quality control, visualization of brain imaging data, and interpretation
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specific requirements include color spectrum differentiation; manual dexterity/motor coordination, hand-eye coordination, physical communications; visual acuity and communication/language development
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Post Doctoral Scholar in AI for Geophysics/Geoscience position. This position is supported through the NSF Collaborations in Artificial Intelligence and Geosciences Program. The position is based in
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for a duration of time is also necessary. Other specific requirements include color spectrum differentiation; manual dexterity/ motor coordination, hand-eye coordination, physical communications; visual
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computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence methods applied
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reporting requirements for sponsored research. 50% Responsible for conducting research in artificial intelligence (AI) and networking-related areas. The position includes assisting with the supervision and
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required. Candidates with experience using cryo-EM are strongly encouraged to apply. Research interest in non-coding RNAs desired. Strong software skills in Microsoft Word, Excel, and PowerPoint
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computing, cloud-based computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence