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airborne geophysical observations, and strong competences in Arctic fieldwork logistics. The gravity research group has carried out airborne gravimetry since the 1990s and has an annual work programme to
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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you are open to working with other colleagues. Qualifications You can work independently, plan and execute complicated and challenging tasks. You are flexible, self-motivated, interested in
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of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
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. Knowledge of compilers, especially an LLVM-based compiler tool chain, program analysis, and computer architecture. Knowledge of real-time systems. Systems programming and C/C++. We offer DTU is a leading
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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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documented prior experience with either biosynthesis or electrochemistry, or both. The ideal candidate is a good communicator in both written and spoken English, is independent, and enjoys collaborating with
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English skills. You should strive towards scientific excellence and be ambitious and hard-working. The preferred candidate shall have background / experience in the following areas: Solid Mechanics
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proficiency in written English is a requirement. As a formal qualification, you must hold a PhD degree (or equivalent). The following knowledge and skills will be seen as assets: Experience in leading coastal
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. Responsibilities and qualifications The overall aim of the project is to generate new knowledge about how emerging generative AI tools – such as Copilot, speech-to-text systems and retrieval-augmented generation