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Field
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in machine learning, systems modeling, optimization, or analysis of complex biological and clinical data. Demonstrated proficiency in programming languages such as Python and/or R, with experience
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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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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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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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Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine | New Haven, Connecticut | United States | about 2 months ago
to therapeutic discovery You bring PhD in computer science, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s) Experience
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learning Biobank and electronic health record (EHR) analyses Drug repurposing or translational genomics R, Python, Linux or cloud computing platforms Department Contact for Questions Applicants should submit
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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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, Ansys, or comparable simulation software. Knowledge of RF/MW propagation and bioheat-transfer modeling. Experience automating image-processing or simulation workflows using Python, MATLAB, C++, or similar
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analyze large administrative and research datasets. Develop quantitative data analysis pipelines using tools such as Python, Stata, R, or similar statistical programming languages. Assist with occasional