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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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communication skills Computer skills (Bioinformatics analysis of ‘omics’ datasets * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs
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development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology
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development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology
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biology experimental techniques, including cryo-electron microscopy. You will be highly motivated with a proven ability to independently and effectively manage research projects, whilst also working within
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of this project, in Turin, Naples and London. About You The successful candidate will have a PhD degree or having successfully passed their PhD viva (with corrections is acceptable) and a strong background in
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. Machine learning/atmospheric science/satellite data processing experience preferred but not required Creative problem-solving skills and ability to work independently *Candidates with a PhD in other
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properties at an atomistic, electronic and structural level. Applicants should possess or be close to obtaining a PhD in physics, materials science, or physical chemistry. They should be highly experienced in
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(MOCVD). The primary aim is to develop energy-efficient 2D materials that can significantly reduce the power consumption of next-generation electronic devices, supporting the UK’s net zero goals and the
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comprise different characterization techniques (e.g. solid-state NMR, low-temperature physisorption of nitrogen, dynamic light scattering, and electron microscopy techniques) to characterize the obtained