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. You will develop methodologies to design, make, screen, and test de novo proteins for incorporation in a particle-based continuous sensing platform with single-molecule resolution, called Biosensing by
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are essential, along with the ability to build and extend statistical pipelines. An interest in Bayesian inference applied to biology is also important. A background in computational proteomics or LC-MS/MS
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derivatives against the target protein; hUPF1. Design in vitro and in vivo experiments. Make in vitro experiments for the selected ligands (and derivatives) for the UPF1 protein and cellular thermal shift assay
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, scientific conferences and other scientific events. Contribute to the preparation of scientific manuscripts and research publications. Where to apply Website https://jobs.vhir.org/jobs/8357465-predoctoral
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subsidiarity. Work environment The recruited person will carry out their activities within the Process-Structure-Functionality (PSF) team of the Joint Research Unit Science and Technology of Milk and Eggs (UMR
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interpersonal skills, and the capacity to build trust and maintain productive relationships over time. Excellent academic writing and communication skills in English. Employment The scholarship is currently EUR
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on an existing collaboration between UoB and NNL and would make use of their combined equipment and expertise (https://doi.org/10.1016/j.scriptamat.2025.116733 & https://doi.org/10.1016/j.matchar.2025.115529
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companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
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goals and make plans to achieve them Present and discuss your research with other professionals Get involved and contribute constructively with feedback Work constructively under pressure or in the face
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research designed and conducted by the PhD candidate. The research may build on, extend, or enable comparisons with research undertaken elsewhere in CAMELOT, but should not depend on data collection