19 parallel-programming "Ecole Polytechnique" Postdoctoral positions at Aalborg University in Denmark
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conditions. This task will include the extension of recent work on model-order reduction applied to quantum circuits. The extension will cover quantum programs with loops and various noise effects. Task 3
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that shape our vision for a healthier and more sustainable future. We offer bachelor’s and master’s degree programs within biomedical engineering, medicine, medicine with industrial specialization, sports
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the multi-national conglomerates which plan and construct wind farms in Norway. While the postdoc will predominantly focus on energy infrastructures and the case of Norwegian wind farms, all project
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students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading
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. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab
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are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab
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are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab
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such as MATLAB, PLECS or PSCAD, and programming for system analysis and control design and you are comfortable working systematically with complex technical problems. Experience with interdisciplinary and
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of integrated solutions Experience with digital modelling tools and platforms for power and energy systems (e.g., EnergyPlan, DIgSILENT, or similar). Strong programming skills in Python, MATLAB, or similar
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor