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authenticity of visual media and provide understandable evidence for model decisions. The candidate will investigate how general-purpose pretrained visual and multimodal representations can be adapted
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), it is important that you are able to: Work independently and in a structured way, as well as collaboratively within an interdisciplinary team Communicate effectively and present and discuss your
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models, parameter estimation and model validation). Documented knowledge and experience in data analysis and scientific computing (such as proficiency in Python/R/MATLAB, data visualization, machine
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to represent these effects in LCA. This project addresses both gaps in parallel by developing the first integrated One Health modelling framework for plastics. We will build a multi-compartment fate model