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Field
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evaluation Knowledge in biology and genomics Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy) Familiarity with Linux environments, version control (Git), cloud
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experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R
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models), programming skills in Python or a similar programming language (experience with PyTorch or another machine learning library is required), at least a basic expertise in user experience (UX) and
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of caring and collaboration. Amenities associated with a major university, such as: sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more
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mode of actions. NECTAR project aim to exploit the Natural Product libraries and evaluate the efficacy of the identified compounds in the presence of the most prevalent resistance mechanisms. Job
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), network science, or embedding methods. Experience with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn. Interest in or exposure to the philosophy or sociology of science
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proposals to funding agencies and provide publishable reports for conference and journal presentations. This will include library research into new approaches. Participate in weekly lab meetings within
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. Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries. Research Excellence: Proven track record
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not be employed by another institution during the term of their Princeton appointment. They enjoy access to Firestone Library and a wide range of other facilities and activities throughout
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at voice (607) 255-2242, or email at accommodations@cornell.edu . Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request