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the urgent need for deeper insights into GIST biology. Single cell RNA sequencing studies have identified immune cells present within the GIST tumour microenvironment (TME) that vary between KIT/PDGFRA mutant
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: Chemistry, Biochemistry, Physics, Material Science, Natural Sciences, Biotechnology, Pharmacy, Chemical Engineering, Environmental Engineering, Pharmacy, Synthetic Biology, Computational Biology/Chemistry or
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modelling, fluid dynamics and data analysis to a major environmental and global health challenge that is also rich in novel biology. Project Aims and Methods This highly interdisciplinary project will measure
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. This network involves 19 organisations across 12 countries and will train 14 Doctoral Researchers (DRs). The interdisciplinary network combines physics, chemistry, biology and engineering to train a new
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The main objective of the project is to study the host-pathogen interaction of PRRSV-1 with target immune cells and in pigs. The hypothesis is that PRRSV-1 can be resolved by the host without the use of neutralising antibodies. The approaches to study the host-pathogen interaction of PRRSV-1 in...
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Supervisors: Prof Falko Steinbach , [email protected]; Prof Dirk Werling , [email protected] Contact for enquiries: Prof Falko Steinbach Start month: October 2024 Length of funding: 3 years Application deadline: 01/07/2024 Later start dates may be possible – please contact once deadline...
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://research.reading.ac.uk/foodbiosystems/ . Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a discipline related to agriculture, plant science, biology, or ecology. An MSc
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The production of vast amounts of nuclear fusion energy in tokamak and compact spherical reactor designs, as a replica of nuclear reactions in the sun, rely on the deuterium (D)-tritium (T) reaction and the hot D-T plasma confinement using intense superconducting magnets. Tritium is an unstable...
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
. The project is therefore suitable for students with a background in (but not limited to): • Applied Mathematics or Theoretical Physics • Computational Biology or Bioinformatics • Computer Science or Engineering
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subject, such as psychology, biology, human genetics ii) an MSc in a relevant subject involving human genetic research or child development research iii) Prior experience working with statistical packages