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Electronic Systems (IES) at the Department for Electrical and Information Technology (EIT) is a balanced effort combining system and circuit design aspects. We design integrated circuits (chips) in advanced
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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
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gene repertoires, recombinant antibody development, and immunochemical analysis to study the evolution of such responses during therapy, in combination with assessment of clinical outcomes of the therapy
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. The research will encompass the independent planning and performing of the necessary experiments to develop methods to investigate proteomic alterations in isolated CTCs, combined with methods to enrich and
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by combining all available data, taking advantage of the varying temporal resolution and different time spans that the records cover. This work will involve Bayesian tools developed by our research
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focuses on developing high-fidelity heat-transfer and fluid-flow models for AM-induced surface roughness, combining DNS/LES, reduced-order models, new correlations, and improved RANS wall models calibrated
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and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects. It may also include technique development work aimed at combining imaging techniques and data analysis
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postdoc with a strong background in mathematics/control combined with ability to collaborate with cancer researchers and immunotherapy specialists. The second project, Structure, Dynamics and Control