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an excellent reputation in its field with state-of-the-art facilities and leading scientists in the areas of biocatalysis, enzymology, organic chemistry and molecular imaging. Our biocatalysis community has a
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. You have a background in machine learning for spatial data (e.g., random forest, neural networks) or are open acquiring these skills. You have experience with handling large geospatial datasets and
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; developing visualisation prototypes to communicate uncertainty to end-users; contributing to a computational framework for data production in cooperation with Research Software Engineers; working closely with
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packages, including deliverable preparation, milestone tracking, and communication across the consortium. What we offer We offer a dynamic and supportive research environment within an internationally
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. Excellent communication skills in English and the ability to work collaboratively. The ability to direct and take ownership of research projects. Desirable Experience with the zebrafish model Experience with
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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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reviewed scientific journals. Experience in writing grant applications. Ability to create research networks Prior knowledge about European fishery High-level written and oral communication skills with
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area: Natural products, especially of bacterial origin, are an important source of new antibiotics. These metabolites further play significant roles in microbial interactions and communication
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(e.g., transportation networks, manufacturing systems, and truck routing). Assessing the relevance of the intake fraction (i.e., exposure efficiency) of major emission sources as a critical metric for
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minoritised groups (including refugees and people seeking asylum) to understand how community networks and social practices promote mental health in hostile contexts. You will also collaborate closely with