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skills and attributes for success: A PhD (or equivalent) in a relevant subject (Artificial Intelligence, or Data Science), with training or skills relevant to the project (Python-based data collection and
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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related field. Extensive experience with R and Python, and prior experience in computational biology are required. The candidate must have excellent written and verbal communication skills, the ability
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and Competencies: Proficiency in CAD software, rapid prototyping and application of autopilot flight control. Proficiency in Python, C++, and MATLAB/Simulink; familiarity with robotics middleware (e.g
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or equivalent experience in an appropriate discipline A background in numerical ice-sheet, glacier or fracture modelling, or equivalent experience Robust experience with computer coding (e.g., Python, C++) Track
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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Substantial experience with Python Substantial experience with R The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be
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, and machine learning. Expert skills with at least one data analysis environment (e.g., R, Stata or SAS). Skills in machine learning and programming proficiency in languages like JavaScript and Python
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imagingGood organisational skills and attention to detail Experience in data analytics, statistical analysis and in programming (such as MatLab, R, Python) Ability to write papers for high quality peer-reviewed
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ability, including proficiency in C++/ Fortran, Linux, bash, git, Python / Matlab and NetCDF and experience working with high-performance computing environments and github. Demonstrated high level