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with experts in material science, numerical modelling and laser physics, enabling you to integrate diverse expertise into robust control frameworks. This collaboration provides a unique opportunity to
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into practical solutions in close collaboration with our interdisciplinary team and external academic and industry partners. Responsibilities also include supporting master's and PhD students, publishing in peer
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providing technical support and troubleshooting in T cell culture, molecular cloning, and viral production workflows. Profile PhD in bioengineering or related area. Strong practical background in primary T
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supervision of Prof. Robin Erbacher, and is expected to play a leading role within the endcap muon CSC and/or GEM detector subsystems, both on upgrades and operations. They will also work on CMS data analysis
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of antimicrobial resistance (AMR) genes. By applying high-throughput sequencing and integrative data analysis in clinical and environmental settings across hospitals in Guinea-Bissau, Nigeria, and Côte d'Ivoire
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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the research, development, and application of systems for pathogen genome data curation, analysis, and sharing. You will join the Epidemiology & Virus Evolution (EVE) group at Swiss TPH, working alongside
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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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participate in the experiments, advise/guide for long-term knowhow transfer Publish the results in peer-reviewed journals and present at international conferences Your profile PhD degree in Physics or a related
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international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior