11 molecular-modeling-or-molecular-dynamic-simulation positions at University of Glasgow
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. The project will use precision genetics methods in the Drosophila larval neuromuscular junction, a well establish model system for uncovering the basic molecular mechanisms that go wrong in human
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autophosphorylation and kinase signalling in the plant model Arabidopsis. Techniques: The project will provide excellent training in a range of techniques associated with molecular biology, confocal imaging, genetics
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Molecular dynamics simulations, informatic searching of large sequence data-sets Use of tissues from transgenic mouse models References Zhang et al., (2024) Science Advances 10(2):eadj2384 Zhang et al., (2023
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of these conditions. These projects will use a variety of molecular, cellular and systems level techniques to study somatosensory circuits in rodent models and determine how these change in pathological states. Summary
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the role of receptor autophosphorylation and kinase signalling in the plant model Arabidopsis. Techniques: The project will provide excellent training in a range of techniques associated with molecular
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culturing, with particular reference to 3D models, and molecular biology with the development of stably transfected clones. She/he will also have an opportunity to develop troubleshooting skills and critical
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-Cas9 genome editing, super-resolution microscopy and in vivo modelling of cancer. This will be a collaborative project jointly supervised by Stephen Tait and Ed Roberts. You will join a young, dynamic
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benefiting greatly from overlap with strengths in spatial and quantitative ecology. Our modelling is developed in close proximity to data, and focused on estimation of parameters relevant to dynamics and
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and deforestation on vector-borne disease data-driven modelling of population dynamics and epidemics developing new methods for species distribution modelling Study options Study options PhD Duration: 3
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Virol 69, 96-100 (2015). C. Mair et al., Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models. PLoS Comput Biol 15, e1007492 (2019). Option B: Create