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. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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Applications are invited for a Research Fellow position on the UKRI-funded Turing AI Fellowship project ‘Event-Centric Framework for Natural Language Understanding’ led by Prof. Yulan He. The 5-year project aims
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in biology, neuroscience, physiology, or a related field. Fluent written and spoken English. The successful applicant will be dedicated, self-motivated, and a good team player. Experience working with
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tools (e.g., Tableau, ggplot2) and programming languages (e.g., Python, R). Strong Communication Skills: Excellent verbal and written communication skills in English, with the ability to convey complex
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Programme? Not funded by a EU programme Reference Number LIN2025/09 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Hippocampal Plasticity and Memory group
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied
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closely related field, by August 1, 2025, with at least 18 graduate semester hours in epidemiology or biostatistics. Proficiency in R and MATLAB programming languages. Willingness to engage with