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for equitable, multi‑terawatt, ultra‑low‑carbon solar power. The successful candidate will be the first postdoctoral researcher on the Fellowship and will take a leading role in building and operating the self
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Mogull, they may also build their own collaborations with academics, PDAs and PhD students, both at QMUL and elsewhere. They will be required to have strong analytical skills, to be an effective team
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-saving practices. By focusing on local needs, government systems, and inclusive solutions for women and youth, the project aims to make lasting change. Partners include Alliance Bioversity-CIAT, Wageningen
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Computational Neurogenomics / AI - Postdoctoral Associate Yale School of Medicine | Adams Center for Parkinson’s Disease Research | New Haven, USA Join a mission-driven team at Yale to build a
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, experience and a strong interest in instrumentation, focusing on building or modifying experimental set-ups for optical imaging. Experience and interest in data analysis and the ability to perform basic
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soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps will be highly rated in the selection process. The project also
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analysis for late-stage process chemistry The successful candidate will have the opportunity to design and build next-generation hardware modules that push the boundaries of automated chemistry. You will
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Developmental Psychology, Developmental Cognitive Neuroscience, or a
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 26 days ago
engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 7 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Not
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biology. This project builds on a key experimental barrier that we have overcome, enabling the rapid generation of high-impact structural data on bacterial secretion systems. Where to apply Website https