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to have the following skills and experience: Essential criteria PhD in Neuroscience or near to completion* At least one first-author publication in a scientific journal Extensive experience working with
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. This project is in collaboration with Alex Cagan (Sanger / Cambridge) and Raheleh Rahbari (Sanger). Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree
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relevant field by the date of employment. Desired Qualifications: PhD and expertise in molecular systematics, bioinformatics, comparative phylogenetic methods, genomics and ideally barnacle taxonomy. Hiring
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, at a panel at the Medieval Congress in Leeds in July 2026 and in other dissemination activities. Qualifications Applicants must have a PhD degree or must document equivalent qualifications in a relevant
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accepted online at: | https://unmc.peopleadmin.com/postings/87589 Individuals from diverse backgrounds are encouraged to apply. Required Qualifications • A PhD by time of hiring in a relevant field. Relevant
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bioinformatics methods have made significant strides, AI approaches - particularly deep learning - are revealing patterns and relationships in biological data that were previously inaccessible. As a postdoctoral
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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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phenotyping. We are seeking for an enthusiastic Post Doctoral Research Assistant (PDRA) with strong experience in bioinformatic analyses to join our team and lead the analyses of bulk and single cell ‘omic
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qualitative proteomics Expertise in LC-MS/MS techniques, including eventually post-translational modification (PTM) analysis Proficiency with bioinformatics and statistical analysis tools, especially in R and