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, TGF-beta) and anti-tumoral (e.g., IFN-gamma, TNF-alpha) cytokines within the TME under co-culture conditions. We plan to use a flow-based multiplex assay to profile cytokine changes post-RT, identifying
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are increasingly using self -funded services via pharmacies, getting both medicines and health advice to treat common infections without seeing a doctor. The vast “smart data” that these interactions are producing
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-suited. By the end of the PhD, the candidate will have gained strong skills in experimental mechanics, test management, materials characterization, and numerical modeling, particularly finite element
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of mechanical and robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the–loop •Background with relevant
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the next generation of biopolymer that are naturally and sustainably sourced and with excellent post-use biodegradability profiles. The project goals will include (but necessarily limited to): Discovery
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. Kavanagh Eligibility Criteria A 2:1 honours degree, or international equivalent, in a relevant subject. A Masters with strong research training element would be highly advantageous. This funding is designed
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visual and auditory cortices using techniques such as cross-modal decoding, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform
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desorption mechanisms of various FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property
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pathways in forms of infant leukaemia driven by the MNX1 oncogene (https://doi.org/10.1038/s41389-022-00426-2 ; https://doi.org/10.1042/BSR20220489 ). The post-holder will integrate within the Tosi Lab, and
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This post is full-time, hybrid and fixed term for 12 months The Grantham Research Institute on Climate Change and the Environment (GRI), based at the London School of Economics and Political Science (LSE), is