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are essential to the biological function of all organisms. For example, haemoglobin must change conformation to bind oxygen and fulfil its biological function. While machine learning approaches that predict
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supervisor and together with a motivated team, you will work on meaningful solutions and contribute to the future of your field. This project will use a mixed-methods design to explore the role of school dogs
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with other bioprinting techniques (including volumetric bioprinting and melt electrowriting). You will use this versatile set-up to produce complex 3D tissues as advanced in vitro models for cardiac and
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enables the Faculty to assess performance against the highest international standards. It also creates an exciting environment of continuous improvement. FEB's programmes, academic staff and research do
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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studies on the microbiome, transcriptome and metabolome to discover genes and processes that are crucial for plants to maximize profitable functions from their microbiome and help the plant to perform
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Apply now Join the department of Earth Sciences as a PhD candidate and work on the project: Benthic microalgae and blue carbon: Investigating the role of microphytobenthos in the retention of seagrass
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approach is to apply foundational techniques grounded in logic, semantics, and verification. This work takes place within the CYCLIC project: Cyclic Structures in Programs and Proofs, a collaboration among
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and stretching. What will you do? You will examine the role of different ingredients (proteins, starches, polysaccharides, enzymes) for the development of cheese alternatives, and how specific
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the guidance of a supervisor and together with a motivated team, you will work on meaningful solutions and contribute to the future of your field. Project description In many professions, high-stakes decisions