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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
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at CSIC and UCM in Madrid, as well as Aarhus University, in a joint effort between the ERC Synergy project METRIQS and the Villum Young Investigator programme DynamiQ. Responsibilities and qualifications In
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qualitative interview studies, surveys, register data, or experiments. The teaching of the department is very diverse across programs and areas and largely falls within the four research areas of the department
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: Develop and refine experimental tasks. Manage collaborations with external partners. Plan and execute analysis strategies. Work with large datasets and apply advanced analytical methods. Contribute to both
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Programme targeted at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications must be
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and utilization technologies, Power-to-X systems, or bioprocess integration is highly desirable. Experience in steady-state or dynamic simulation under varying operational scenarios; programming skills
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engineering in Europe. The department conducts research, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and
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for loading LLMs; Experience with Cloud Platforms (Google Cloud to be preferred); Advanced Python programming, including developing course material and exercises for chemical engineering subjects; Experience
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individuals. The department offers a wide range of courses and programs at bachelor, master, and PhD levels across DTU's study programs. The department has 200+ employees with around half of the staff coming
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our BSc. and MSc. program by contributing with teaching and supervision? Then the Department of Civil and Architectural Engineering invites you to apply for a 4-year postdoc position on position “data