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Field
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laboratory analysis of bacterial loads, resistance gene and protein expression and immune responses of immunized broiler chickens against multiple bacteria. Qualifications: Minimum Qualifications: PhD in
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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive
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, patient-derived xenografts, and cell lines. We use large genomic datasets to identify the mechanisms of disease progression, treatment resistance, and biological processes. This analysis includes
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investigate systemic immunity, the tumor microenvironment (TME), and the mechanistic drivers of resistance to radiation and immunotherapy utilizing advanced pre-clinical models of head/neck and pancreatic
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using techniques such as microscopy, profilometry, electrical resistance measurements, adhesion testing, and related quality-control methods. The candidate will contribute to the adaptation
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to understand disease resistance and local adaptation across Europe. The project combines large-scale population genomics, graph-based pangenomics, structural variant discovery, genome-wide association studies
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to enhance vaccine protection, understanding of host factors that drive heightened susceptibility to infection, and mechanisms and consequences of antibiotic tolerance and resistance strategies. Projects will
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. Potential research directions include identifying biomarkers of sensitivity and resistance to anti-cancer compounds, defining mechanisms-of-action for cytotoxic small molecules, discovering genotype-specific
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, chemical biology, AI, and pharmacogenomics to uncover how cancer cells respond to small-molecule therapies. Potential research directions include identifying biomarkers of sensitivity and resistance to anti
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, and second harmonic generation (SHG) to investigate magnetic, electronic, resistive and ferroic functionality in thin film materials and nanodevices. The work will combine fundamental studies