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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
About the Role Molecular Framework Materials (MFMs) are of strong interest worldwide due to their porosity, crystallinity and chemical functionalizability / tunability making them appealing for a
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, BRCA2, and PALB2. Through advanced single cell genomics, in vivo modelling, and immune profiling, the team will study early molecular and cellular changes that occur in high-risk breast tissue. The team
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) are interested in molecular organisation of cell interfaces in the epithelial tissue and glycobiology. We use super-resolution STED microscopy, CryoET, in combination with biophysics and chemical biology, to
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would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu) are interested in molecular organisation of cell interfaces in
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, dynamic and growing discovery research group as a postdoctoral researcher. The postholder will work in Dr Knuepfer’s group, whose team explores molecular mechanisms of red blood cell invasion by malaria
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skills and desire to work as a member of a dynamic team, including collaborators internal/external to University of Dundee PhD in Biochemistry, Parasitology, Molecular Biology, or related field Experience
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. As part of a dynamic research environment, you will provide mentorship to junior team members and contribute to collaborative projects within and beyond the department. The post will be based
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technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing
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-molecule fluorescence microscopy, optical and magnetic tweezers) together with in-house molecular biology and biochemistry. Studying the dynamics of DNA and RNA replication at the single-molecule level
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focuses on understanding how tumour cell plasticity and dynamic cell state transitions drive resistance, and aims to identify actionable vulnerabilities that could inform future therapies. You will work