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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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burn chamber. https://research.fs.usda.gov/firelab At the heart of the USDA Forest Service's mission is their purpose. Everything they do is intended to help sustain forests and grasslands for present
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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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support staff from the Sustainable Agricultural Water Systems ARS-USDA unit (https://www.ars.usda.gov/pacific-west-area/davis-ca/sustainable-agricultural-water-systems-research/ ). Research (90%): Field
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solutions. For more information about DHS visit: https://www.dhs.gov/mission. Project The DA-TC is seeking candidates who have the academic background to engage in the following projects. Projects will be
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, or unsupervised learning methods. Proficiency in Python and familiarity with scientific computing libraries such as PyTorch, TensorFlow, Pandas, NumPy, and related ML frameworks. Experience with large datasets
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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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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
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) data sets in R or Python as well as GIS software such as QGIS or ArcGIS Pro. Knowledge of US forest ecosystems and background in analyzing forest structure, stand dynamics, biodiversity, and/or other
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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