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Field
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data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in a
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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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. Required Qualifications A PhD or doctorate is required GIS, and experience in statistical modeling using SAS or R Location Hybrid/Flexible Work Arrangement – Philadelphia, PA Additional Information
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), Researching, Results Reporting, Rodents, R Programming, Scientific Writing Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ . Accommodation
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, quantitative psychology, rehabilitation sciences, or a similar field. Experience performing human subjects research Exceptional written and oral communication skills Preferred Qualifications Proficient in R
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Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
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Genomics, or a related discipline involving the interrogation of â˜omicsâ™ datasets, or expected to obtain a degree in the near future. Solid skills in at least one programming language (R, python, or Perl
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science environment. ● Proficiency in coding and advanced data analysis using languages such as R or Python. ● Experience working with databases using SQL, cleaning and transforming data. ● Deep
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, Electrochemistry, or a related discipline. Preferred Qualifications: Hands-on experience in fuel cell and/or electrolyzer R&D, preferably PEM-based or alkaline systems. Strong background in electrocatalysis
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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management