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, biomedical informatics, or a related quantitative field; outstanding candidates at either level are encouraged to apply Strong programming skills, especially in Python; experience with TypeScript/JavaScript
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quality (PM2.5, CO2, Nox, etc.) and energy monitoring (voltages, currents, battery charge/discharge cycles); Proficiency in languages commonly used in IoT, such as C/C++, Python, and JavaScript. Expertise
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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in English, · Scientific publications in Web of Science–indexed journals in the field of cognitive neuroscience, · Programming skills in R, Python, and JavaScript for behavioral modeling, as
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Are you interested in working on a unique geological dataset to understand the evolution of one of the most enigmatic volcanoes? Salary range £44,247 rising to £50,379 per annum Business Unit School of Natural Sciences Closing date for applicants 30-Apr-2026 Are you interested in working on a...
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transportation systems modeling and computational methods • Demonstrated programming proficiency (e.g., Python, R, JavaScript, SQL) • Experience working with large, real-world mobility datasets • Ability
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, JavaScript, etc.) Track record in publishing scientific articles Certifications/Licenses Required Knowledge, Skills, and Abilities Preferred Qualifications Preferred Qualifications Prior experience conducting
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, Urban Analytics, or related fields Strong expertise in transportation systems modeling and computational methods Demonstrated programming proficiency (e.g., Python, R, JavaScript, SQL) Experience working