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these could be developed into biomarkers. The student will sequence small RNAs from blood samples of healthy controls and individuals with DLB or AD. Using advanced bioinformatics, they will analyse small RNA
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Max Planck Institute for Terrestrial Microbiology, Marburg | Marburg, Hessen | Germany | 16 days ago
Job Offer from December 03, 2025 We are excited to invite applicants with a strong interest for interdisciplinary research in modern microbiology to apply for fully funded PhD positions
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 3 days ago
Profile First Stage Researcher (R1) Positions PhD Positions Country Poland Application Deadline 25 Jan 2026 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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bioinformatics. The main responsibilities include: High-throughput sequencing: Applying long-read sequencing technologies (Oxford Nanopore) to quantify DVG populations in cells and virions without PCR bias (Direct
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at the University of Basel, Switzerland (https://duw.unibas.ch/en/ecoevo/ ), is looking for a PhD student in the field of Conservation Genetics. New computational and analytical tools in population genetics allow
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Overview Qualification type: PhD Subject area: Microbiology and crop protection Location/Campus: Hatfield, College Lane Campus Start date: 1 September 2026 Closing application date: 10 March 2026
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academic guidance from thesis advisory committees. Comprehensive and structured PhD program in English. Individual career mentoring programs & coaching, courses in state-of-the-art methods & soft skills
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PhD Position - Marie Curie network MetaExplore: Functional metagenomics - novel biocatalysts for a sustainable circular economy from ultrahigh throughput screening. A doctoral position is available
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Department/Location: Department of Biochemistry, Central Cambridge PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based
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aims to characterise the sequence, structural, and functional properties of UL-CDRs using deep learning and structural bioinformatics, with the goal of identifying novel antimicrobial peptide candidates