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engineering, computer science, information systems or a related field Very good command of written and spoken English Experience in the development of Python and web applications Experience in DevOps Ability
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of, and experience with, causal inference and/or survival analysis is an advantage, but not necessary. • Good programming skills (in R, Python or similar). Experience with analyzing large datasets
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and present at international conferences Required Qualifications Master’s degree in computer science, or a closely related field Strong programming skills in Python and experience with deep learning
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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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, Maritime Studies, Transportation Engineering, Computer Science/Data Science, or a related discipline. Excellent programming skills (Python, Matlab, etc.). Excellent proficiency in English (written and spoken
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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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, Mathematica, Python, R), working knowledge of statistics, supervision of BSc students, popularization of science. Specific Requirements Application procedure The information for the PhD admission is available
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of command-line tools, Python, or R for data analysis is a significant advantage. Language: Proficiency in English (written and spoken) is mandatory, as this is an international collaboration project. French
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programming skills (e.g., Python, MATLAB) would be desirable but are not essential. How to apply Interested applicants should contact Prof Tom Coulthard (T.Coulthard@mmu.ac.uk ) for an informal discussion
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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity