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-cell transcriptomic atlases for the eyes and optic lobes of three invertebrates with unique and elaborate colour and polarisation visual systems: mantis shrimp, water fleas, and firefly squid
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and spatial omics analyses performing quality control, preprocessing, integration, annotation, visualization, and downstream statistical analyses contributing to data management, workflow development
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visual methods. By combining a global mapping of key actors, data flows, carbon credits, and financial transactions with in-depth case studies and insights from farmers themselves, the project will provide
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epistemological questions, such as the significance of human sensory experience for scholarly inquiry and the potential of digital technologies for the visualization and interpretation of ancient religious history
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water. The work is carried out by building optimization models and collecting data according to principles of open science. The analyses include sensitivity analysis, scenario building and analysis, and
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and analysis will be a major and exciting part of the role, providing an opportunity to work at the intersection of experimental biology and computational science. The position is full-time research
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, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization
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-wavelength excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis
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excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis to provide
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acceptable impurity ranges for precursor synthesis from recycled metal streams. The project will involve experimental design, synthesis and characterization of precursor materials, and analysis of impurity