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used in analysing drivers of species communities and to make predictions to non-explored areas. In this project, these models will be extended to predict ecosystem functions (e.g., total biomass
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-on-chip company Finnadvance, Helsinki, Finland offers a PhD position for a doctoral candidate/MSCA fellow for the project: “A high-throughput blood-brain barrier-on-chip for predicting brain permeability
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using language identification, such as text corpora for rare languages. Language identification methods ground their predictions on training corpora for a finite number of separate languages. In practice
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages