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leverage quantum acceleration where beneficial, while maintaining practical deployability and system reliability. Required knowledge The candidate should have: Strong programming skills (Python
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massively parallel computing systems, including GPU-accelerated platforms. Develop and maintain scientific software, primarily in Python , using modern practices for software development, testing
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interfaces, reaction mechanisms, activity and selectivity develop reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software analyse electrochemical
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; advanced statistical and data analysis skill (preferably in Matlab, R, Python) and a track record of peer-reviewed papers of high ambition and quality (ideally published in top-tier journals) are
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statistical and data analysis skill (preferably in Matlab, R, Python) and a track record of peer-reviewed papers of high ambition and quality (ideally published in top-tier journals) are key requirements
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energy-intensive infrastructures. Implementing algorithms and simulation models using Python, MATLAB, Julia, or other suitable tools. Analysing simulation and project data, and validating the developed
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journals). Advanced programming skills (preferably in Matlab, R, Python), experience with probabilistic programming languages (e.g., Stan, Turing, Tensorflow), and high-level expertise with data analysis
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 18 hours ago
commonly used in engineering (MATLAB, python); strong track record of working both independently and collaboratively; be organized, able to lead multiple projects simultaneously, and work effectively
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programming languages and frameworks such as Python, PyTorch, or TensorFlow is an advantage Fulfillment of the formal admission requirements for doctoral studies at the University of St. Gallen
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
. Demonstrated experience with publications in top-tier journals and conferences. Proficiency in programming languages commonly used in deep learning such as Python and familiarity with frameworks like TensorFlow