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statistical analyses using Stata and Python. Review relevant academic literature and summarize findings. Prepare tables, figures, and documentation for research papers and presentations. Support other research
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measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly
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effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation in teaching
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independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation
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, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm
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others) compatible with epidemiology. Produce a digital twin for national suicide and self-harm rates. You will expand your data wrangling, analytical and programming skills on python and develop expertise
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to financial and economic time series, working with programs such as MATLAB, Python, and C++. The chosen candidate will have the opportunity to take courses and attend seminars at MIT. The ideal candidate will
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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transport modelling, and data science. Solid programming skills (ideally Python) and experience with data analysis. Self-motivation and curiosity to learn and grow independently. Strong communication skills
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modelling of the atmosphere using python and FORTRAN, optimising momentum and flux balances using AI tools. This training will equip them for a career in atmospheric science.