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., to understand the business needs, goals, etc. Work with senior developers and architects to design and develop solutions. Create code using Python, SQL, etc. and validate function with business teams. Develop
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, advising, or consulting on AI or data topics. Experience with both quantitative and qualitative analytical methods. Other Requirements Proficiency in Python and/or R. Skills in survey development, machine
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learning models, and willingness to learn about new methods, is a plus. · Strong programming skills in Python, and Linux Shell; experience in developing methods as open source repositories at e.g. GitHub is
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efficiency. Experience working with R or Python data science tools to analyze and visualize health care data and to develop data pipelines to support machine learning model development. Experience working with
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Skills Required: 1. Industry certifications such as CCNP, CCIE, PCNSE, are preferred. 2. Experience with network scripting and automation tools such as Ansible and Python preferred. 3. Requires a
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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages
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● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity
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cloud platforms (Azure, AWS, Google Cloud). Skills in Python coding, database design/programming, and AI implementation. Knowledge of software development processes (including Agile) and product
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querying languages (SAS, Python, R). Familiarity with Duke-specific systems and data platforms like SAP, BW, SPS, WebCentral/Archibus, highly desired. Strong communication and stakeholder engagement skills
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scripting skills (Python, R, PL-SQL, Oracle, Postgres, Microsoft SQL Server). - Familiarity with HR analytics and employee life cycle. - Experience with controlled vocabularies, benchmarking, bibliometrics