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or further their skills in using the Large Fire Simulator, FLAMSTAT, the Forest Inventory and Analysis Datamart, the TreeMap dataset, the FuelMap dataset, ArcGIS Pro, R, and/or Python. Learning Objectives
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assembly, population genetics, statistical genetics, complex trait mapping, and high throughput sequencing genome and programming proficiency in R, Python, Perl, C/C++, Java, and SAS are highly desirable
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a related field. Preferred skills: Experience in AI, machine vision, image analysis, robotics, autonomous systems, and agricultural sensing. Experience with Python, machine learning or deep learning
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approaches. Familiar with common scientific programming languages such as python, C++, or Fortran. Experience with high performance computing environments is welcome. Candidates who do not strictly meet these
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support systems. Writing code using programming languages such as C#, C++, Python, Kotlin, Java or Swift. Developing and implementing APIs between various systems. Learning and gaining experience in game
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of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments (e.g., command-line interface, scripting in R/Python, use of common
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applications and end user experiences Writing code using programming languages such as C#, C++, Python, Kotlin, Java or Swift Developing and implementing APIs to write XR applications and use OpenXR standards
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scripting languages (e.g. R, Bash, Perl, Python) and with open-source bioinformatics tools. Experience with genome assembly and/or analysis Excellent wet lab and basic molecular biology skills. Be highly
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pursuing a bachelor's degree in the one of the relevant fields anticipated to be received by May 31, 2027. Preferred skills: Experience with fire management, landscape ecology, programming (e.g., R or Python
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of the relevant fields. Preferred skills: Previous experience in computational ecology and statistics. R or Python. Statistical analysis tools such as NIMBLE, JAGS or STAN. Familiarity with data processing, quality