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, Introduction to Python, making figures using GGplot2 and basic machine learning. These courses are offered to PhD candidates through the PhD Course Centre of the Graduate School of Life Sciences . In
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, provided they have advanced training in methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid
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and written. Further expertise that would be valuable: Python software development; Natural Language Processing. Above all, you are a quick learner, proactive and eager to make things work. Our offer
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, hydrological modelling, AI-based methods; Experience with programming languages (e.g. Python); Motivation to cooperate in a diverse and multidisciplinary research team; Strong social and communication skills
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: Ability and motivation to conduct fieldwork in alpine environments, and willingness to obtain a UAV license. Interest in coding (e.g., Python, Matlab, R) and numerical modelling. Enthusiasms for working
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techniques such as magnetic imaging, optical microscopy, (FIB-)SEM analysis, or microCT. Some experience with scientific programming (e.g., Python) and willingness to further develop these skills. Strong
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workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g., Python, RDF) and some skills in web-based data retrieval; good English