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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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, 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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, 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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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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of quantitative or statistical analysis experience 5+ years of experience with SQL; 5+ years of experience with Python and/or R (or equivalent languages); Experience with advanced approaches to statistics 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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communication journals Demonstrable proficiency in advanced quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential
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, single-cell analysis, and machine/deep learning (preferred but not required). Strong programming and statistical skills (e.g., Python, Perl, R, Bash). Track record of first-author research papers. Strong
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3 years postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience working with remote sensing. Experience with crop physiology is a plus. Strong numerical