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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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Applications are invited for a Postdoctoral Research Assistant with expertise in high-resolution, analytical scanning transmission electron microscopy applied to next-generation semiconductors
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analytical experiments and first-principles calculations revealing causal links between material microstructure, electronic properties and degradation pathways. This programme will generate vital progress in
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experience in the electrical or optical characterisation of semiconductors or photovoltaic devices. You will possess strong analytical, organisational, and communication skills, a proven record of publication
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with broad interests in random matrix theory, analytic number theory, probability or statistical physics are strongly encouraged to apply. They will be expected to conduct research which falls within
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the Blackholistic collaboration, which is funded by an ERC Synergy grant and aims to try and unify accretion and jet formation across the black hole mass range. The collaboration incorporates observations, analytic
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of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and
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biophysics, and cutting-edge analytical technologies. Your expertise in optical microscopy, single molecule imaging, computational imaging and data analysis will help us further develop mass photometry and
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colleagues. Strong quantitative analytical skills are essential as is having excellent communication skills with the ability to write for publication and present research proposals and results and to represent
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. Developing an analytical framework to achieve the grant objectives, the postholder will also write and publish scientific papers on the relationship abiotic environmental variables and extinction selectivity