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Field
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both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
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experiments (animal experimentation course required) and behavioral testing; establishing primary neuronal (CNS and enteric) and cell cultures; performing immunoblotting, immunohistochemistry and
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the sensory and functional qualities of natural seafood. This PhD project is expected to develop technology for cultivated seafood, by selecting the optimal cell source, developing a continuous cell line and
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of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty
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of metabolic dysfunction. What you will do This PhD project aims to study a novel lipid signaling pathway in adipocytes, cells specialized in lipid uptake, storage and metabolism, that play a central role in
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. Collaborators on the project will use Brillouin microscopy for in vivo study of changes in the mechanical properties of plant cell walls, which have been implied in responses to the two parasites. We will also
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variety of methods—from translational in vitro-studies using additively manufactured materials and cultured cells, to clinical research including large-scale randomized trials. Our translational research is
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cell walls, which have been implied in responses to the two parasites. We will also use the model species thale cress (Arabidopsis thaliana) as a resource to help identify the molecular mechanisms and
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at cell membranes; Apply machine-learning models trained on simulation data to study how lipid composition and genetic variation influence the conformational and phase properties of membrane-associated
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conventional synchronous generators. Efficient management of energy storage devices, including batteries, fuel cells, supercapacitors, hydrogen storage, and plug-in hybrid electric vehicles (PHEVs), will be