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(e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in climate impacts in mountain regions complete your
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programming skills in R (Git, Stata and/or Python are of advantage) Proficiency in data cleaning and management and experience working with complex datasets Reliable, structured and precise working style Strong
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or environmental science. Familiarity with climate modelling is an advantage. Programming skills (in MATLAB or Python) are considered a strong asset. Applicants should also have a very good level of written and
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engineering and local IT administration for the AICH group: Research Engineering (approx. 60%) Develop and maintain data pipelines and reproducible ML/AI workflows (Python). Support clinical data ingestion
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, bash/python Experience with molecular biology experiments Good organisational skills Workplace Workplace We offer The technical skills that the student will develop for the PhD project include: Field
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datasets and papers with open data and code that can serve as a basis for these exercises, then adapt these in jupyter notebooks (python or R) for student learning exercises. The Supervisor will advise
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Strong background in seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB
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independent research interests. Your profile Required: PhD in Marketing/Business/Analytics (or a related field); strong statistical background; proficiency in Python; fluent English. Preferred: experience with
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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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to scientific exchange and team development Profile Master’s degree or equivalent in Data Science, Computer Science, Biomedical Engineering, Neuroscience, or a related field Solid experience in Python and/or R