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(imaging mass cytometry); maintenance of tissue archives and databases. Key attributes of the successful applicant include: PhD in a relevant subject Substantial experience of histological techniques
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wastewater to tackle the environmental threat of AMR. You will have a PhD (or close to completion) in modelling complex systems or a closely allied discipline along with experience in creating, writing
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about our areas of interest can be found in the group website. Applicants must have (or be about to receive) a PhD in Physics, Chemistry, Materials Science, or a related subject. The ideal candidate will
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interpret high-resolution datasets that reveal new insights into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. You will hold a relevant PhD/DPhil
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to someone proactive and ambitious who has obtained their PhD and has begun an academic career in epidemiology, pharmacoepidemiology, or medical statistics, with a focus on causal inference methods applied
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little infrastructure, and can drive a 4x4 vehicle in difficult terrain within six months of the post commencing. Candidates who have submitted their final PhD thesis at the point of interview and are
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of master and PhD students, involvement in teaching and laboratory and academic management and grand application writing. Please also visit: https://neurochem.univie.ac.at/ Your future tasks: Active
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You will collaborate closely with RCA staff, PhD students, and external partners, contributing to cutting-edge, design-led robotics innovation. Outputs are expected to be published in high-impact
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attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis
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protocols. Successful applicants will, ideally, be in post by 1st September 2025. Person Specification Essential Criteria: Qualifications A good first degree in Biology. A PhD (or be close to submission) in