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or Planetary Science, Applied Mathematics, Physics, or a closely related field, completed by the start of the appointment. You should have strong scientific programming skills (Julia, Python, Fortran or C++) and
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. Beneficial previous experience could include (but is not limited to): robotics and autonomous systems development, environmental science fieldwork, electronics design, and data science. Knowledge of Python, C
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and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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. Beneficial previous experience could include (but is not limited to): robotics and autonomous systems development, environmental science fieldwork, electronics design, and data science. Knowledge of Python, C
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. Preferred Knowledge, Skills, and Abilities: Experience of method development in quantum chemistry. Demonstrable coding experience for example with python, fortran, C++ or others. Experience in modeling
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. Knowledge of Python, C++, Matlab or ROS would be of benefit. The project involves extensive fieldwork, and candidates should enjoy working outdoors. How to apply Please submit a CV and cover letter with your
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blow moulding. You will also have: Experience applying AI or coding tools (e.g. Python or MATLAB) to analyse scientific data A track record of conducting and interpreting experimental work The ability
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, Python, or Mplus. Global collaboration: Coordinating expert meetings and maintaining partnerships with international collaborators, governments, and academic institutions. Research leadership: Developing