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/RTX ) system: Implement statistical and machine learning techniques to augment graph edge properties in ARAX; Create modular python wrappers to interface with NCATS (National Center for Advancing
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, or geospatial briefings to help communicate technical findings to diverse audiences Develop or adapt geospatial scripts using Python for data processing, automation, and spatial analytics workflows Collaborate
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Experience with multi-modal integration of common biological data types Experience with workflow languages such as Snakemake or Nextflow Proficiency in Python and R Experience with transcriptomics and other
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, epigenomics) Utilize and implement tools such as Scanpy and other single-cell analysis frameworks Develop and maintain reproducible workflows in Python and related programming environments Collaborate with
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tools such as Firewalls, SIEM, XDR/EDR, CASB, FIM, IDS/IPS Networking fundamentals System administration and troubleshooting Scripting (bash, python, etc.) Compliance or auditing NIST documentation (e.g
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sensing, GIS, and spatial analysis. Demonstrate proficiency in Python or R programming language. Preferred candidates will be versed in recent literature on retention silviculture, early rotation treatments
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in any of the following: Python, MATLAB, C, C++, LabView This part-time position is located at either the State College, PA or Reston, VA locations; relocation is not provided. Selected candidate may
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at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required Preferred skills/experience areas include: Python, C++, CUDA, time-series
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and students in the department Required skills/experience areas include: A Bachelor’s degree in an Engineering or Science discipline One or more of C/C++, Python, Fortran, Ada, MATLAB, and Simulink
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areas include: Bachelor’s degree in an Engineering or Science discipline plus five years’ relevant experience One or more of C/C++, Python, Fortran, Ada, MATLAB, and Simulink Linux Ability to engage in