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Institute, QMUL, whose research aims to develop and apply computational tools to identify the genetic determinants of rare Mendelian and common complex human genetic diseases using genomics and other omics
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to innovative research at the heart of current environmental challenges. You will be responsible for the physicochemical analysis of complex samples of environmental interest, such as secondary organic aerosols
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analysis of complex biomedical datasets. The research environment is highly interdisciplinary, bringing together expertise from machine learning, statistics, data science, and healthcare research
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teams or pursue their own research project or vision relevant to the department’s profile. The department develops mathematical, statistical, and computational methods for the analysis of complex systems
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diseases, with the goal of advancing therapeutic and vaccine design. The successful candidate will lead structure-based studies of glycoproteins, antibodies, and their complexes, taking projects from protein
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role in developing innovative biological solutions for advanced cell culture systems, with a focus on microbial processes, complex culture media development, and alternative nutrient sources. Where
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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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experience is desirable Essential skills: Strong expertise in microbiological techniques Proven experience in the purification and analysis of protein complexes Experience in structural biology, ideally in
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the role of membrane dynamics and lipid environments in modulating signaling scaffolds. We investigate how membrane-remodeling complexes and specific lipid compositions influence the spatial organization
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technologies, and gene therapy with considerable scope and complexity; identifies and selects problems to be studied in agreement with Principal Investigator; plans and performs complex experiments and