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Manage Consent At SciLifeLab, we use necessary cookies to ensure that the website works properly for you. We also want to use cookies for web analytics to help us improve the website. You can change
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: Experience with CUDA programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high
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tensor network algorithm development and application. Competency with common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel
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Manage Consent At SciLifeLab, we use necessary cookies to ensure that the website works properly for you. We also want to use cookies for web analytics to help us improve the website. You can change
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, and implementation on mobile edge devices such as smartphones and tablets for estimating clinical scores from patient videos. In parallel, the candidate will contribute to the development of high
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) as evidenced by their publications High performance computing (HPC) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency
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additional programming languages is an advantage Experience with Linux/UNIX-based scientific computing environments and modern software development practices Experience with parallel computing and high
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experience in nuclear, mechanical, or chemical engineering, engineering physics, or related field completed within the last 5 years. Experience with Python, C, and/or C++ applied programming
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SWAT and MODFLOW. Exceptional Fortran programming expertise is essential and will be a major selection criterion. The selected candidate must be able to read, understand, modify, extend, compile, debug