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Ministry of Science and Higher Education ranking list, the number of citations (MUW employees should provide their lists of publications confirmed by the MUW Library) - if applicable. PLEASE NOTE: MUW
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, with experience in geospatial and machine learning libraries. SKILLS AND QUALITIES • Strong scientific rigor and autonomy in conducting research activities. • Ability to work in an
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or water-related systems. • Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset
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libraries (e.g. NumPy, pandas). Experience with biodiversity-related indicators (e.g. species richness, abundance-based indicators, habitat metrics). Experience working with large environmental datasets, data
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Python. • Knowledge of the Pytorch library for neural network development would be appreciated. Interpersonal skills: • Candidates must be able to work as part of a team with the various project
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collaborations with musicians and partners such as the British Library; workshops with community groups; and public events and outputs, from a groundbreaking website to concerts to TV, radio, and podcasts. Your
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external , FAME or QuEUR. - Time and space for your development in the broadest sense: development days and a personal career budget and free access to our university library . - Good pension with ABP
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning libraries Excellent written and verbal communication skills Track record of publishing in top tier conferences For consideration, applicants need to submit a cover letter, curriculum vitae
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strategies to automate data pre-processing, from feature detection to componentization and library-based identification. Develop advanced tools for accurate and comprehensive data processing of LC-MS and
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) Student Administration University Library Online Course Catalogue Webmail Uni Tübingen Advice for International Students Uni-Tübingen University Back Profile Back Facts and figures Values and visions Awards