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to discover pathway‑level disease mechanisms. Build reproducible pipelines in R/Python Integrate proteomic signatures with neuroimaging, cognitive and neuropathology phenotypes. Write manuscripts, contribute
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interpreted using Python and R. Many tasks are performed using Princeton’s high performance cluster computers. Data Collection and literature review: This position will give assistance to Princeton University
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to write automation scripts (e.g. Bash, Python, Ansible etc.) Experience in private and public cloud environments (e.g., vCenter, OpenStack, AWS etc.) CCNA (Routing and Switching) or equivalent certification
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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and
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. Required: * Experience using Linux/Unix systems required. * Experience using scripting languages such as Python and Matlab. * Familiarity with relational databases and SQL required. Preferred: * Familiarity
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undergraduate student Excellent research, analytical, and writing skills Experience or Familiarity with Python or R Ability to work independently and as part of a team Preferred Qualifications Strong interest
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Python and R, leveraging frameworks such as TensorFlow and PyTorch for imaging and omics-based applications. Applying state-of-the-art techniques in data science and AI to analyze the cellular and
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the development of databases and/or web applications, information modeling, and identification appropriate database resources for implementation. Programming experience of which includes SQL, C+ and/or Python
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workflow systems to ensure system stability and efficiency; (d) develop high-quality, high-performance AI service backends based on Python and FastAPI; (e) be responsible for the design, optimisation
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complex business processes and continuously optimise workflow systems to ensure system stability and efficiency; (c) develop high-quality, high-performance AI service backends based on Python and FastAPI