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Field
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. Specific Requirements A PhD qualification in molecular ecology, evolutionary biology, fisheries genetics or a related field. Experience with bioinformatics analysis, especially with next-generation
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resistance. Our laboratory employs cellular and molecular biology techniques, proteomics, and bioinformatics techniques. Our laboratory has state-of-the-art BSL-2 facilities, which are fully equipped to carry
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must be sent to sinbelangero@gmail.com , with a copy to pgtunifesp@gmail.com , with the subject line: “Application for PD Fellowship - BHRC - Name + Surname.” Requirements: PhD in health or biological
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data for European and international funding applications. Specific Requirements PhD in Physics, Engineering, Mathematics, Computing, Bioinformatics or related fields. Master's degree in Data Science
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dissertation chair confirming you will complete it before Sep 1st , 2026. Please upload verification as an additional document in the document upload section. 2. Earned PhD or equivalent in statistics
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of the project MESSENGER: « Can rock-powered Microbial EcoSyStEms provide valuable iNsiGhts into early life and its emERgence? » funded by the PEPR ORIGINS (https://pepr-origins.fr/en/ ) and integration
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through data analysis and interpretation. Where to apply Website https://www.academictransfer.com/en/jobs/359153/postdoc-development-of-a-microb… Requirements Specific Requirements PhD in microbiology
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for screening experiments. The successful candidate will have a PhD in gut microbiome research and/or anaerobic microbiology and ideally have experience of combining these techniques with bioinformatic approaches
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of Experimental Biology, PAS Type of recruitment: NCN Maestro Requirements: Education: PhD in Neuroscience or Bioinformatics; Professional experience: behavioral and/or molecular neuroscience; or bioinformatics
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background in bioinformatics and previous experience with next-generation sequencing (NGS), ideally in cancer genetics. In particular, familiarity with the analysis of whole-exome/whole-genome sequencing data