11 python-"the" Postdoctoral research jobs at Technical University of Denmark in Denmark
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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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, 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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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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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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in MATLAB or Python Experience in using practical coastal engineering models such as MIKE, Delft3D, XBeach and SWASH Experience in using CFD, preferably OpenFOAM We offer DTU is a leading technical
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microscopy). Experience in programming for hardware control and data analysis, e.g. using Python, is a clear advantage. We offer DTU is a leading technical university globally recognized for the excellence
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of thesis by the start date) in economics, psychology, or a closely related discipline. Strong programming skills in Python, Stata, or R. A solid foundation and interest in behavioral and experimental
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characterization of photonic devices. Desired qualifications: Theoretical understanding of photonic integrated circuits. Experience with numerical modeling. Experience with Python programming. Additionally, we
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course