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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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streams across the continent, multiple differently coloured catfish communities coexist, forming diverse mimicry “rings.” This project will use whole-genome resequencing to tackle three key questions: Which
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this project and to conduct research in the field of cognitive neuroscience, which will include, among others: Designing and implementing behavioral, functional, and structural MRI studies with different
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consortia of cross-feeding bacteria ” • Generate and characterize bacterial mutants • Perform coculture experiments with different bacterial strains • Analyse the formation of clusters among bacteria using
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/Python and signals processing Understanding of electromagnetics Experience with CAD and mechanical design How to apply: Interested candidates should submit a full formal application, guidance and the
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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-flight mass spectrometer setup and use it for mass spectrometry experiments with different molecules at different conditions; see for example the open access articles https://doi.org/10.1039/D3CP01162C
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. Individuals with Runs of Homozygosity (ROH) spanning immune genes are more susceptible to viral infection. Differences in alleles at immune genes explain variation in disease status of birds. Training: AI
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ability to evaluate fossil fuel CO2 (ffCO2) emissions is currently limited. ‘Bottom-up’ emissions estimates, based on inventory-style accounting and mobile tracking data, can differ significantly from each