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learning frameworks such as PyTorch or TensorFlow is an advantage); Affinity with probabilistic modelling and spatial data analysis; Interest in the physical behaviour of water systems and hydrology (prior
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, and data analysis. Knowledge of advanced statistical methods or data visualisation (e.g., developing Shiny web applications). Experience with Statistical Programming using R and/or Python. Experience
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-supervised by Prof. Nicolas W. Jager at TU Berlin. For more information on the project, see https://sustainability-governance.net/2026/06/29/erc-advanced-grant-gap… . Location Leuphana University Lüneburg is a
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. This PhD project combines laser optics, precision metrology, electronics, and advanced data analysis in close collaboration with the University of Bonn and an international DFG-funded research unit
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sequencing data generation and interpretation Bioinformatics and statistical analysis, to characterize genome evolution, mutation processes, and adaptation patterns The PhD candidate will progressively
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characterization techniques such as XRD, XPS, SEM, or TEM. Experience in data analysis, scientific programming (e.g. Python), statistical experimental design, as well as data-driven research methods and
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English, both written and spoken. Meritorious qualifications Knowledge of Agriculture and Forestry Bio-based products and energy Risk analysis Life cycle assessment (LCA) and modeling Should one or two
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Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR5095-KILAUD-072/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut de Biochimie et
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of scienceYears of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UPR8001-CORALO-020/Default.aspx Work Location(s) Number of offers
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, stakeholder reporting, case-based analysis, and data modeling to support business evaluation, strategy validation, and financial impact. LanguagesENGLISHLevelExcellent Research FieldEconomics Additional