679 phd-in-architecture-landscape-built-environment Postdoctoral positions in United Kingdom
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are seeking a recent PhD astrophysics graduate to work on the analysis and interpretation of data from cosmological hydrodynamics simulations of galaxy formation, particularly from the COLIBRE project
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Support the team’s visibility through case studies and outreach Contribute to grant applications and mentor PhD and project students You will work closely with the SEISMIC Facility, the UK’s national hub
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team’s visibility through case studies and outreach and contribute to grant applications and mentor PhD and project students. In this role you will work closely with the SEISMIC Facility, the UK’s national
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aqueous environments, and explore how they may have contributed to the emergence of early metabolic pathways. This position offers the opportunity to work at the forefront of prebiotic chemistry in a
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stimulating research environment and contribute to ongoing activities in these areas. Your future tasks As part of the Mathematical Physics Group, you will: Conduct independent and collaborative research in
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(e.g., dyslexia) and their neurobiological bases. The ideal candidate holds a PhD degree in linguistics, psychology or cognitive neuroscience, and has several years of postdoctoral experience, including
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to the positive research culture of the Woolgar lab and the wider environment at the University of Cambridge. Interviews are expected to be held mid-December and the anticipated start date will be 01 February 2026
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. Minimum qualifications are PhD and/or MD with expertise in molecular and cellular biology and prior experience in gene editing, also for different applications. Candidates should be highly motivated
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thriving environment for research as well as for career development. The Role Are you an ambitious researcher looking for your next challenge? Do you have an established Are you an ambitious researcher
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-ome data at bulk and single cell resolution. You will hold a PhD in Mathematics, Systems Biology or a related subject. Experience with mathematical modelling of dynamical systems using linear and non