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experience developing deep learning models using frameworks using PyTorch and possess strong Python programming skills. Experience working with Remote Sensing datasets and geospatial technologies such as GDAL
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working with foundation models (e.g., vision-language models, large multimodal models, or pre-trained foundation models for biomedical imaging) Proficiency in Python and relevant libraries (e.g., PyTorch
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programming, distributionally robust optimization, optimal transport, or reinforcement learning is highly desirable; • Programming skills in Python are desirable, especially experience with numerical
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skills in scientific computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with
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. Programming experience in Python, Matlab, and SQL. Mathematical modeling and data analysis. Machine/Deep learning (e.g. Pytorch, TensorFlow, JAX). City of Hope employees pay is based on the following criteria
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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knowledge of mountain environmental processes, alpine ecology, and/or vegetation change; experience from or competence in using R, Python or comparable programming and analytical tools; show evidence of being
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estimation. Experience with convex or semidefinite optimisation, variational methods, or computational complexity. Proficiency in relevant scientific programming or quantum-software tools, such as Python
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analyzing genomic, transcriptomic, proteomic, spatial multi-omics, imaging, or other high-dimensional biological datasets. · Proficiency in R and/or Python for computational biology and bioinformatics
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, imaging, or other high-dimensional biological datasets. · Proficiency in R and/or Python for computational biology and bioinformatics analyses. · Excellent analytical, organizational, written, and verbal