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Field
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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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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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. 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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, R, or Python. 4. Experience in processing and analyzing diverse remote sensing datasets. 5. Ability to work effectively in an interdisciplinary and collaborative research environment. 6. Strong
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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
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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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programming skills in Python and/or R; experience with STATA, MATLAB, or SQL is advantageous. Experience with aviation, airport, airspace, flight trajectory, or transportation datasets. Strong publication
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using python, MATLAB, etc. Ability to support organisation of webinars and remote and in person training activities Publications in Q1 journals on the above topics Please see the attached job description
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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