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Job Description Love Python and helping others? Join DTU’s Python Installation Support team! Help fellow students get set up, fix issues, and share tips. Flexible hours, great experience, and a
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include developing efficient code in Python and Julia to perform numerical optimization of control fields that govern the evolution of the photonic quantum information processor. This includes adaptation
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, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming (e.g. C++, Python, Matlab
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practical experience with measurements of fluidic flows Optical measurement methods (PIV, PTV, LDA) Flow visualisation (e.g. Shadowgraphy, schlieren, event-based camera) Programming in C, Java and Python
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design the integration and incorporation of various control systems into the existing data-driven workflow. Develop high-quality code in Python to automate characterization and benchmarking. Support
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Research, Computer Science, Mathematics, Applied Mathematics, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems
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with programming languages such as Python and SQL. We work with very large spatio-temporal datasets, so concrete experiences with spatial data tools such as PostGIS and QGIS are beneficial. Time-series
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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of electricity and other energy markets. Knowledge of cost model and financial modelling of renewable technologies. Coding experience (Python, Matlab) You must be responsible for the teaching of courses. DTU
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in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written communication skills in English. A proven academic