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utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel
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one of the programmes. It is home to a community of over 100 PhD, postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure systems
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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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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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their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in
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fungal ecology, (meta-)genomics, bioinformatics, and multivariate statistics. Experiences in forest ecology and biogeochemistry are welcomed but not required. You are highly self-motivated and committed
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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
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microscopy (QPlus AFM), integrated with electron spin resonance (ESR) capabilities. Your profile We are looking for a highly motivated experimentalist who meets the following criteria: PhD in Physics
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immediately and will remain open until filled. The level of this appointment is ideal for candidates who recently completed their PhD (or is expecting to soon). Interested candidates can apply by submitting a
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partners in West Africa • Publish high-impact scientific articles and participate in project reporting and dissemination activities Your profile • PhD in microbial ecology, molecular microbiology, microbiome