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or Python) and familiarity with advanced analytical techniques (e.g., causal inference, machine learning, time-to-event analysis). Interest in medicine or clinical epidemiology and capability to transfer
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deployment of research-grade AI tools. Proficiency in Python (and preferably R); experience with data engineering for omics, containers, CI/testing, and high-quality visualization/reporting. Strong publication
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industrial partners experience of scientific publishing in machine learning and artificial intelligence. Merits: proficiency in programming languages such as Python experience in data analysis and
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geocomputation and programming competence in a scientific programming language such as R, Julia, or Python. Demonstrated experience in data curation and management. Willingness to work as part of a
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. process chemistry), magnetic materials and knowledge of different techniques for synthesis and analysis are merits. Knowledge of Python programming is an asset Experience with LaTeX is desirable About the
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programming languages such as Python experience in data analysis and visualisation techniques ability to conduct independent research and work in teams good written and oral communication skills in English
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writing Meritorious are: Experience of mathematical methods for inverse problems Software development, e.g. Matlab or Python Good ability for collaborative work Ability to drive projects independently
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English. Solid programming skills in Matlab, Python, or C/C++. Great emphasis will be placed on personal qualities such as strong collaboration and communication skills with other researchers and project
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multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits
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the time the employment decision is made good ability to develop and conduct research of good quality pedagogical ability experience in R and / or Python. statistical knowledge and application experience