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performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core implemented in the Fortran programming language, and it relies
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modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential
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: PhD in computer science, machine learning, operations research, transportation engineering or a related field. Programming skills in C/C++ and Python, along with experience working with simulation
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. The position is part of a project funded by the Energy Technology Development & Demonstration Programme (EUDP). The project is led by Associate Professor Jonas Sundberg and is an interdisciplinary collaboration
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research topics do you plan to work on Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background
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or similar. Background in applied physics/materials science. Experience in STM Experience in programming or writing analysis software is advantageous. Previous experience in nano/micrometer-size device
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, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to
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. Knowing Chisel is a bonus. Knowledge of real-time systems System programming in C We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation
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on the intersection of data science, statistics and machine learning, all with applications to wind and solar energy science. You will be a part of an international team developing tools to plan and operate hybdrid
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design and FPGA programming. We are seeking a highly motivated and talented Postdoc to join our group and contribute to our efforts in developing integrated optical phased array (OPA) on a thin-film