601 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions in Uk
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and develop new scientific techniques to visualise macrophage innate signalling (focus on inflammasome signalling) using microscopy and the latest biochemical techniques as well as develop 2D and 3D
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advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 hydrogenation. You will work to get new insights into the reaction mechanisms in plasma-catalytic CO2
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advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 hydrogenation. You will work to get new insights into the reaction mechanisms in plasma-catalytic CO2
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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should have a MRes or PhD (or submitted at time of appointment) together with a strong academic track record, in a relevant area (e.g., Neuroscience, Medicine, Genetics, Mathematics, Engineering, Computer
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environment in the School of Physical Sciences. Maintain cell cultures and perform imaging studies and analysis on these cultures. About You Essential: A PhD in physics, biology, applied mathematics, computing
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net ) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI
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goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating, for example, the location and spectral
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activities. You will have: a PhD in an area relevant to the project, like biology, physics, applied mathematics previous experience with computational modelling, method development, and numerical analysis
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and/or flow cytometry-based readouts of infection Experience with biochemical assays (e.g. Western blotting) Experience handling/processing samples in vivo infection models and/or human samples