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analytical and mathematical skills, including proficiency in quantitative modeling, data analysis, and scientific computing (e.g., R, Python). Strong written and verbal communication skills in English. *for
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strong programming skills (e.g. Python, Java, or similar) and experience building APIs, data pipelines, or backend systems. Data integrator by nature – You are comfortable working with SQL/NoSQL databases
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for the below courses for Summer 2026: BIOE 002: Fund Molecular Biology BIOE 021: Introduction to Computing with Python BIOE 104: Biotransport Phenomena ENGR: 080: Stat Model Data Analysis Other courses as needed
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programming (e.g. Julia/JuMP, Python/Pyomo, AMPL, MATLAB, GAMS). What you will do Take courses at an advanced level within the Graduate school of Energy, Environment and Systems Develop your own scientific
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diverse research community Preferred: Master's or Ph.D. in STEM or related discipline Python programming skills Demonstrated familiarity with AI/ML libraries such as PyTorch, TensorFlow, or similar tools
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diverse research community Preferred: Master's or Ph.D. in STEM or related discipline Python programming skills Demonstrated familiarity with AI/ML libraries such as PyTorch, TensorFlow, or similar tools
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
combination of education and/or experience. Preferred Qualifications, Competencies, and Experience - Demonstrated professional experience in software engineering and web development, including Python, SQL
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · development of a Python application with a graphical interface, · compilation of parallel applications and
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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics
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programming languages such as Python or R and be willing learners of new software engineering skills. It is also beneficial to have familiarity with behavioral science and social science more generally