43 parallel-programming-"Multiple"-"Simons-Foundation" Postdoctoral positions at Technical University of Denmark
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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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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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-level programming, developing prototype implementations, and evaluating their research in testbed experiments. An interest in generating real-world impact and collaborating with the industry. Excellent
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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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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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, 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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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
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considered an asset in these positions. Applicants must also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab
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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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related field Experience with Earth System or biogeochemical modelling Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling A strong interest in