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related field). Decent programming skills, especially in Python or JAX. Familiarity with finance theory (asset pricing, derivative pricing, risk management etc.). Familiarity with machine learning or deep
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Python programming is an advantage Good written and oral communication skills Ability to work independently and good time management skills If you share our interest in leveraging first-principles
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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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experience with empirical research methods. Candidates with research experience are strongly preferred, especially those with programming experience in Stata, SAS, R, and/or Python. Candidates need not be
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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 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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Experience using Linux or Unix, and high-performance computing systems Experience with Python, R, or another scientific programming languages Experience with AI/ML approaches Familiarity with tools like BLAST
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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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desirable. Experience with fluid–structure interaction (FSI) modelling is an additional advantage. Experience with scientific programming (e.g., Python, MATLAB, C++ , or similar languages) is advantageous