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algorithms and Quantum Imaginary Time Evolution. What you bring to the table Experience with Python programming Experience in programming quantum algorithms with Qiskit, Pennylane, or similar Prior knowledge
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studying Mechanical, Civil or Wind Energy Engineering in a master´s program. Do you have experience using Python and have already had some touchpoints with wind energy and system engineering? You understand
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research program. What will be your tasks? This position will be part of the international SkaMix Consortium with partners from Norway, Sweden, Denmark, The Netherlands and Germany with the aim to identify
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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Full Professorship (W3) for "Children, Adolescents and Young Adults (CAYA) Cancer Survivorship Resea
the generous support of the Dietmar Hopp Foundation, the professorship at the DKFZ, embedded in the Cancer Risk Factors and Prevention research program, will be established as a bridge between the National
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science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough
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available in the further tabs (e.g. “Application requirements”). Objective This programme aims to deepen knowledge of the German language (general language, technical language) and regional studies. Who can
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Science principles. Through programming, consulting, and training, the working group provides flexible support for scientific work in model simulations and data analyses on social and natural science issues
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is required. The professorship also involves German and English teaching in the bachelor and master programs of the Biology Department, covering topics such as evolutionary ecology, zoology (e.g
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one of the above fields Very good expertise in the programming languages Python and C/C++, the numba library, and in applying parallelization techniques using GPU programming (CUDA/OpenCL) and MPI