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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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sponsors; and documentation of findings in reports and papers. Candidates with five years of industrial experiences and programming in Matlab and Python are preferred. BACKGROUND CHECKS/CLEARANCES Employment
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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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: Education in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Economics, or a related field Experience with Python and data cleaning/analysis Experience with research workflows
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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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: Contribute code in Python (and/or C++/JavaScript), work with APIs, and support cloud-based workflows (Google Cloud/Azure experience is a plus). Documentation and communication: Maintain clear technical
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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