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, including bias mitigation and reinforcement learning techniques. Proficiency in Python and standard NLP libraries (e.g., Hugging Face and PyTorch). CHC is a research and development unit at Aarhus University
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- or LC-MS and LC×SFC, LC×LC or GC×GC-MS analyses) Experience with chemical analysis of bio-oils Experience with programming languages is advantageous (e.g., R, Matlab or Python) Can interact and
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in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written communication skills in English. A proven academic
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(particularly in C/C++ and Python) Ability to work independently as part of an agile team, with a strong sense of responsibility Willingness to engage in application-oriented R&D, by closely interacting with
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of electricity and other energy markets. Knowledge of cost model and financial modelling of renewable technologies. Coding experience (Python, Matlab) You must be responsible for the teaching of courses. DTU
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some basic Danish. In addition, we are looking for people with experience or knowledge with one or more of the following topics: Proficiency in system programming languages like GO, C#, Python, Java, and
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and integrating React with REST APIs Knowledge of OpenAPI standards Proficiency in Python for backend interactions and data processing Fundamental knowledge of SQL databases Familiarity with software
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software (primarily SAS, SQL, R, Python, and Stata) Experience of working with Danish registry data primarily via Statistics Denmark’s project database and researcher scheme Knowledge of and practical
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programming (e.g. in python) are an advantage. Excellent oral and written English language skills. Strong collaborative skills, team spirit, yet the ability to work independently. Qualification requirements
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. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written