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eligible for TES. Essential Functions Develop an AI model which will study the role of wetlands in carbon sequestration using data-based models. Write python scripts for AI. Why Work at Auburn? Life-Changing
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., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer
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analysis, basic scripting in R or Python, and integration of multi-omic datasets is considered an advantage. Candidates should also possess a strong publication record in high-impact journals and a
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foundation for image analysis (e.g., affine transformations, convolutional filters, matrix and morphological operations) Programming skills in Python, MATLAB, and/or experience with ImageJ, Napari, Imaris
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a strong background in one or more of the following areas: nonlinear (Lyapunov-based) analysis tools, software skills with Matlab or Python, and strong writing skills. Special Instructions
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, with a self-driven and proactive attitude and willingness to learn new skills. Experience in bioinformatics, particularly with Python or R programming, is a plus. Remuneration will be commensurate with
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data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and
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clinical research. Expert skills in statistical analysis, i.e.. R Studio, SAS along with experience in coding, i.e. MATLAP, Python, etc. Salary Range $61,008+ depending on NIH level Working Conditions May
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score derivation and validation, and other relevant analyses. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency
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Medicine, Statistical Genetics, Bioinformatics, Computational Biology, or a related quantitative discipline. You will also demonstrate a proficiency in statistical programming using R and/or Python, with