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Field
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control Deep foundation in modern machine learning Solid programming skills in C++ and Python. Experience with ROS is a plus Extensive hands-on/practical experience on developing, implementing and/or
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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techniques e.g. laser and optical instrumentation; computational/numerical modelling programming skills e.g. Python, C++. Eligibility Open to both UK and International applicants, including EU applicants. How
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, applied mathematics or a related discipline, and a specialization in machine learning, uncertainty quantification, optimization or related fields. Expected skills Proficiency in Matlab/Python/Julia Oral
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proficiency in Python. Knowledge in Statistical physics and Network science, and interest in complex networks and interdisciplinary research are a plus. The position is for 3 years, and will be located
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work received above-average grades, awards, or led to scientific publications. Proficiency in Python is required. Experience with additional programming languages, such as MATLAB or C/C++, is considered
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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is
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, e.g., Python, C/C++, Fortran Willingness to work independently and think critically Excellent communication skills Ability to work well in a team and contribute to a diverse and inclusive workforce What
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acceleration. Strong programming (C/C++/Python), data structures and software development skills. Track record of research excellence through publications or public repositories Good communications skills
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opportunities offered by cutting-edge CFD methods. Prior experience in CFD and/or CFD code development (e.g., Python, Fortran, C++) would be a considered as a strong asset. Selection process The recruitment