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of PhD students. Play an active role in the research group community. Administration Responsibilities: Regularly present technical results at meetings. Write technical reports that may serve as a formal
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, microbes will be identified that affect fermentation outcomes. Building on previous work from the host group (doi:10.1016/j.chom.2023.05.024; doi:10.1093/nar/gkaf1388), we will develop machine learning tools
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spearhead a high impact Knowledge Transfer Partnership between EthOss Regeneration Ltd and the University of Leeds, leading the development and testing of synthetic biomaterials for bone regeneration in
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, fostering cross-disciplinary skills. A background in hydrology is not required, as the necessary domain knowledge will be progressively acquired during the PhD through collaboration with hydrogeologists and
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applicant holds a PhD (or equivalent) in biology, bioinformatics, computer science or a related discipline, being experienced in bioinformatics, (meta)genomic data, and microbiology. Specifically, knowledge
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(R2) Positions PhD Positions Application Deadline 3 May 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Permanent Job Status Full-time Hours Per Week 8 Offer Starting Date 16 Apr 2026 Is
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knowledge to practical problems and a commitment to UK transport that demonstrates a vision for high-impact, policy-relevant research, and tangible societal impact Relevant teaching and/or professional
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feed artificial intelligence models to predict fermentation performance and market impact. Where to apply Website https://www.univr.it Requirements Additional Information Eligibility criteria
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spearhead a high impact Knowledge Transfer Partnership between EthOss Regeneration Ltd and the University of Leeds, leading the development and testing of synthetic biomaterials for bone regeneration in
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professional qualifications and experience equivalent to PhD level plus the requisite experience A2 Specialist theoretical and practical knowledge in semiconductor devices including opto-electronic devices and