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Field
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model), Imaging data acquisition and analysis (Positron Emission Tomography) Complementary training includes research ethics, scientific communication, project management, and collaboration across
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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will be required to demonstrate their ability to identify fundamental flow features and model these using suitable CFD methods. Experience in Fortran/C/C++/Python/Matlab is an advantage but not essential
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modelling. The Hub provides cutting-edge laboratory infrastructure alongside SEMS's extensive facilities portfolio. You will work under the supervision of Dr. Salvatore Grasso (https://www.sems.qmul.ac.uk
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grade. Generate data through comprehensive laboratory grinding tests on various rail grades to train and validate the ML model. Utilise numerical modelling to establish acceptable thresholds for surface
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: adapting existing models of bird movement and migration to test hypotheses about the ecological processes shaping observed connectivity patterns. Identify species and populations that have the highest
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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cutting-edge molecular techniques and generate gene knockouts to identify new enzymes and pathways involved in this process. Finally, the PGR will utilise plant infection models and high-resolution
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-specific TEM protocol will be used to reveal their subcellular localisation. This work will be done at UEA and IOCAS (Prof. Shan Gao). Objective 2: Using the genetically tractable model diatom Phaeodactylum
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mixtures, (ii) assay key fitness measures of gene-edited medflies lacking Ceratotoxins. (iii) Insect control Depending upon interests, explore (via experimentation, modelling, or quantitative literature