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schemes and a number of health and wellbeing initiatives to support you. Closing Date: 05 May 2026 The Role Do you have a passion for evolutionary theory and experience in modelling? We are a dynamic
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 25/03/2026 Job Description The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer our
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science, and computational modelling. Supervision in a dynamic and internationally connected research environment within the Research Unit in Environmental and Evolutionary Biology (URBE). Close
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Cornell University, CALS Ecology and Evolutionary Biology Position ID: Cornell-CALS Ecology and Evolutionary Biology-POSTDOCAGRAWAL [#31867, WDR-00057721] Position Title: Position Type: Postdoctoral
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. In this PhD project, your duties: are interdisciplinary and require an interest in evolutionary biology, bioinformatics, computational/mathematical biology and genetics/genomics involve primarily
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and biophysics. Develop computational pipelines integrating ASR, structure prediction, and energetic analysis. Apply and/or develop ML/AI methods for protein design and evolutionary inference. Analyze
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Senckenberg Gesellschaft fuer Naturforschung | Frankfurt am Main, Hessen | Germany | about 1 month ago
Harrison (Coventry University). The project is also part of an interdisciplinary consortium studying the “GEvol: Genomic Basis of Evolutionary Innovations (GEvol)” (Priority Programme, SPP 2349 funded by
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Deadline 30 Jun 2026 - 23:59 (UTC) Country Japan Type of Contract Permanent Job Status Not Applicable Hours Per Week See description Is the job funded through the EU Research Framework Programme? Not funded
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Gottfried Wilhelm Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | about 2 months ago
Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We invite applications
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will receive interdisciplinary training in bioinformatics, evolutionary genomics, and high-performance computing within the DDLS data-driven life science framework. Data-driven life science (DDLS) uses