213 programming-language-"St"-"University-of-St"-"FEMTO-ST"-"St" positions at Technical University of Denmark in Denmark
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to contribute to a collaborative, interdisciplinary research environment Are eager to learn and explore new ideas at the intersection of ML and optimization Can program efficiently in one or more languages
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to work in an international environment. We expect you to be/have: an international full degree student, preferably you just started your studies at DTU native English speaker or to have very good English
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. The position is an Alliance PhD partially funded by DTU and partially funded by Villum Fonden under the Villum Young Investigator program. The PhD project will investigate the molecular basis of enzyme-substrate
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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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microbiology and CMDs. You need to be ambitious, motivated, capable of working independently, and have good skills within written and spoken English. In addition, you should have experience with experimental
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Associate Professor Christian Damsgaard, Professor Jakob
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following qualifications: Programming skills and AI interest Data analytical skills and computer science focus Experiences with chemical analysis and pilot experiments is an advantage. Knowledge
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general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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. A dedicated full-time programme manager supports the course's coordination and delivery. Furthermore, you will facilitate and maintain meaningful collaborations with industry partners, industry
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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