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towards histopathology and spatial sequencing experiments. Extract RNA/ DNA from tissues and prepare sequencing libraries. Analyze spatial sequencing data using Python or R. Perform rodent neurosurgeries
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open source geospatial packages under OSGeo; Experience in programming with multiple languages (e.g. Java, C/C++, Python) for geospatial information systems, agro-informatic applications, crop modeling
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, python, or R) is critical. Strong organizational, leadership skills and passion for scientific discovery. Exceptional ability to work with a team as well as to work independently and be extremely self
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researching the auditory midbrain (inferior colliculus). Detail-oriented, quantitative mindset and experience with scientific programming (Matlab, python, or R) is critical. Strong organizational, leadership
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EMS mutagenesis protocols in plants. Prior work involving biochar, soil amendments, or sustainable forestry applications. Experience with R, Python, or other bioinformatics tools for omics data analysis
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and instrumentation. Familiarity with design and simulation tools like SolidWorks, Autodesk Inventor, MuMax, OOMMFi COMSOL, or similar. Familiarity with the programming languages Python, Matlab
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languages such as R or Python is preferred. Candidates should have strong interpersonal skills, work well in research teams, nurture a professional environment, and have a strong commitment to rigorous
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programming languages such as Python and C++, as well as experience with machine learning frameworks like TensorFlow or PyTorch Familiarity with image processing libraries and a solid grasp of deep learning
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include R, Python, mySQL, MATLAB and JavaScript, or other GIScience. Preferred Qualifications: Experience in developing scientific data management tools/processes to manage large volumes of data originating
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integration of robotics, PLCs, CNCs, and sensor networks in a manufacturing context. Strong programming skills (e.g., Python, MATLAB, C++) and familiarity with AI/ML tools and platforms. Consideration may be