24 python-"https:"-"BCAM-The-Basque-Center-for-Applied-Mathematics" positions at Duke University
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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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more at: https://hr.duke.edu/benefits/ DEPARTMENTAL PREFERENCES Master’s degree preferred. CPA is a plus. MINIMUM QUALIFICATIONS Education/Training - Bachelor’s degree in analytics, statistics
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(primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement simulations and perform computational experiments using high-level programming languages (e.g., Python
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. Skills: • Strong programming skills (e.g., Python, MATLAB, or similar). • Proficiency in numerical methods for coupled differential equation systems. • Excellent written and verbal communication skills
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welcome to apply. • Candidates should have a developing track record of research output • Programming proficiency in python is essential • Commitment to open research, as appropriate to the discipline
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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
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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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, and code libraries to streamline clinical data workflows and ensure consistency across studies. · Use SAS and other analytical tools (e.g., R, Python) to build custom reports and visualizations
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human genetic data, with demonstrated proficiency in statistical software (e.g., R, Python, PLINK, SAIGE). Familiarity with chronic kidney disease phenotypes and population-based studies. Excellent
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, Economics, Statistics, Computer Science, Engineering, or Mathematics. A demonstrated passion for investing and a strong desire to learn about financial markets. Strong proficiency in R or Python for data