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Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows Documented experience with ontology development, knowledge graphs, and
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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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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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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the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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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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communicating research in magnetics for power electronics, while innovating in applications such as data centres, EVs, and wireless power systems. Establish outstanding, externally funded research programs
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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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experimental laboratory work Knowledge and understanding of cross-shore sediment and particle transport processes Experience with Lagrangian measurement techniques for particle transport Programming competencies
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biomolecules, translational research, and therapeutic development. Are independent, motivated, and excited about growing an ambitious research program. Exhibit excellent communication skills and enjoy