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Field
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; measurement system characterization, e.g., validating platform performance such as dynamic range, linearity, phase noise and measurement uncertainty; automated test & data acquisition, e.g., using Python/MATLAB
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publication in a peer-reviewed journal or conference proceeding Proficiency in programming languages such as Python, R, and/or SAS Experience working with EHR, administrative claims and/or omics data is highly
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artificial intelligence in health research. Responsibilities Assist with data preprocessing and analysis of large neuroimaging datasets Support development and evaluation of machine learning models in Python
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approaches such as RNA-seq and ChIP-qPCR/seq. • Experience with fluorescence microscopy. • Proficiency in statistical analysis and/or coding (e.g., Python, R) for data analysis. • A willingness to learn and
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
performance under different acquisition conditions and across different types of plant communities, programming and automating analytical workflows in Python and R, and integrating these workflows with
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diffusion models Familiarity with CT imaging workflows or radiological image-analysis pipelines Ability to develop reproducible research code in Python, preferably using PyTorch Experience with explainable AI
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additive manufacturing. Hands-on experience with CFD/FEA tools (e.g. ANSYS, Abaqus, COMSOL, OpenFOAM). Solid programming skills in Python (experience with PyTorch/TensorFlow is highly desirable). Proven
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analysis using Matlab, Python, etc. • Some experience using software to automate experimental controls. Required Documents: (1) Curriculum Vitae (including completed degrees, list of publications, research
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will select, follow, and adapt specialist data analysis methodologies using R and/or Python to work with large-scale datasets. You will represent the research group at internal and external meetings and
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: Education in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Economics, or a related field Experience with Python and data cleaning/analysis Experience with research workflows