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demonstrable research experience in the analysis of genomic and methylation data. Experience analyzing transcriptomic data and an interest in evolutionary biology and conservation are highly desirable
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Postdoc Position in Experimental & Computational Plant Biology Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 23 April 2026 Apply
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14 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Biology Biological sciences » Other Researcher Profile Recognised Researcher (R2) Application
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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» Biodiversity Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 24 Mar 2026 - 23:59 (Europe/Paris) Country France Type of Contract
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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approaches are discovered at the intersection of fields. We combine ideas and tools from a range of disciplines including metabolism research, neurosciences, (comparative) physiology, evolutionary biology and
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in the Ma lab: Evolutionary Genomics of Sex (https://www.wmalab.com ) in the Biology Department at the Vrije Universiteit Brussel (Belgium). Our lab aims to understand how sex chromosomes and sex
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oral microbial communities mediate differences in oral and systemic health using an evolutionary health framework. There will be a specific emphasis on applying advanced bioinformatics and statistical
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. Functional validation through gene expression profiling and phenotypic assays will also be part of the role. Your profile Candidates should have a strong interest in population genomics, microbial biology, and