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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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, particularly GBS, continuous-variable QC Experience with numerical simulation, statistical estimation, or probabilistic modeling. Programming proficiency (Python, Matlab or C++), especially for numerical
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in C++ and Python, including experience with the scientific Python stack (NumPy, SciPy) and linear algebra/matrix libraries. Proficiency in developing efficient, maintainable code for engineering
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benchmarking tools About you: You have prior knowledge of programming in python and are familiar with machine learning (ML) libraries in python. You have a strong interest in machine learning (ML) and deep
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that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and/or data science. Fluency in English and Python are required. Experience working with real-world
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of the following areas: Research and development within computer vision and machine learning. Research and development within UAS platforms, subsystems, and payloads. Software design and development (C, C++, Python
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hands-on experience in molecular cloning, cell culture systems, mouse models, and interest in liver disease biology. Experience with R or Python and the computational analysis of next-generation
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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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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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. An interest or previous experience in R-studio or Python is an advantage as well. Our group and research The newly started group of Cardiac Functional Genomics is headed by associate professor Pia Rengtved