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Field
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Strong analytical, critical thinking, and communication skills. C, C++ , JavaScript, Visual.net, Java, R, Python, MATLAB NodeJS, HTML/CSS, Flask. Machine Learning (Neural network), TensorFlow, Pytorch
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related fields Basic knowledge of programming (preferably Python; R or MATLAB also accepted with willingness to switch) Experience in quantitative data analysis Interest and/or experience in landslide
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collection. Experience with psychological data collection. Experience with SPSS, R, MATLAB, and/or other research software or coding. Experience working with children and families. Experience with scheduling
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• Willingness to work as part of a team • Basic computer skills (MS Office, Google Docs/Sheets/Slides, etc.) Preferred Qualifications: • Highly Preferred: MATLAB/Python/Presentation programming experience related
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processing software (e.g., IVAS, Digital Micrograph, Python, MATLAB). Track record of publications and/or technical presentations. Experience in collaborative and interdisciplinary research environments
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Micrograph, Python, MATLAB). Track record of publications and/or technical presentations. Experience in collaborative and interdisciplinary research environments. Exposure to sample environments for in situ
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spectroscopy (EELS), or related. Hands-on experience with data acquisition and processing software (e.g., IVAS, Digital Micrograph, Python, MATLAB). Track record of publications and/or technical presentations
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of dissolved organic matter chemistry. Experience managing research samples and data. Statistical data analysis with Microsoft Excel and either R, Matlab, or Python. Experience making scientific figures
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learning; MatLab; and server storage. Preferred Qualifications Experience working in health and biomedical sectors preferred. Experience working with RedCap, pooling Epic data, and PACS system. Key
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intelligence; method and machine learning; MatLab; and server storage. Preferred Qualifications Experience working in health and biomedical sectors preferred. Experience working with RedCap, pooling Epic data