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and electronically and prepare proposals and applications to external bodies. You will: possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related
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, three PhD students and a postdoctoral researcher. The project is led by Dr. Yiren Zhao at Imperial College, who is supported by Prof. George Constantinides and Prof. Wayne Luk. The team also includes Dr
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-leading research. Education, Qualifications and Experience Essential A PhD in physics or engineering with a specialisation in ultrafast nonlinear optics and/or ultrafast spectroscopy, or extensive
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for Quantum Enabled Position Navigation and Timing (QEPNT), part of the UK’s flagship National Quantum Technology Programme. Working with Dr Kevin Gallacher and Professors Marc Sorel and Douglas Paul, the focus
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for a researcher interested in parasite biology for a wet-lab based role. Applicants should have (or be close to completing) a PhD in microbiology, biochemistry, molecular cell biology or a related field
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relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural Biology
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and restorative recommendations for institutional strategy You will possess: A PhD in history or a related discipline, or equivalent research experience Experience accessing and working with archival
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
biodiverse and socioeconomically complex regions like the Amazon. This PhD will explore how tropical forests are functionally adapting to climatic pressures such as drought and warming, and how
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personality: Excellent German language skills (at least C1 level) are essential Completed doctoral/PhD studies in Islamic-Theological Studies or a comparable discipline Research in the field of Islamic theology
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets