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Fixed-term: The funds for this post are available for 1 years in the first instance. Working in the Space Photovoltaics research group within the Department of Materials Science and Metallurgy
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between cell biology and molecular neuroscience. We employ integrated experimental approaches, combining cutting-edge microscopy, biochemistry, omics, and iPSC-derived cell models to understand organelle
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track record in wet-lab cell biology and possess a PhD in a relevant discipline. Prior experience of working with organoids and/or in respiratory disease research would be an advantage, but training will
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in our publication list. Applicants must have (or be about to receive) a PhD in Physics, Chemistry, Materials Science, or a related subject. The ideal candidate will have experience in code development
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-doctoral researcher and a PhD student with whom they will carry out longitudinal studies using innovative behavioural procedures combined with pharmacology, molecular biology and circuit neuroscience
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involve the development of engineering principles for dynamic Power-to-X chemical process, considering reactor, separation and heat integration units. Research will be focused on green ammonia production
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science and exploration. A unique feature of the Institute is that the range of expertise of its researchers includes and bridges the human and natural sciences. The Institute is comprised of a Museum, a
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their expertise and strengthen their competencies in this exciting interdisciplinary field. What you will need Applicants must hold (or be close to completing) a PhD, in the social sciences (sociology, sociology
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Research Assistant / Research Associate in Frontiers of Atomistic Simulation Techniques (Fixed Term)
. The successful candidate will hold (or be close to obtaining) a PhD in Physics, Theoretical or Computational Chemistry, Materials Modelling (or closely related disciplines), with a proven track record in
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fundamental science under the Woolgar QQ. The ideal post holder will have prior experience with acquisition of fMRI and MEG data, strong coding and analysis skills including using multivariate pattern analysis