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biology, molecular self-assembly, physics, chemistry and other related fields will be considered, but should have an interest in applying ideas from algorithms and computer programming to the molecular
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evaluation. Previous knowledge of belief/trust for vehicular cooperative perception is a distinct advantage as is experience with algorithm development and networking simulation. Candidates should have
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development and training dataset generation. The processed training datasets will be used to develop classification algorithms, in conjunction with Swisens, to identify different fungal spores in near-real-time
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robustness and adaptability. Transport Modelling: Apply advanced modelling techniques to analyse and forecast transportation demand, develop efficient routing algorithms, and enhance transport network design
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dynamics and how this can be a modulator for the neurodevelopmental phenotype derived out of genetic mutations. We will use in vivo an ex vivo models. The appointee will be focusing on performing confocal
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diseases. While environmental, genetic, and epigenetic factors have all been linked to the development of autoimmune diseases such as Rheumatoid Arthritis (RA) and Inflammatory Bowel Disease (IBD), a key
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genetic and biochemical approach. Furthermore, it is planned to derive the 3-dimensional structure of phage-encoded carbohydrate binding proteins to define their specific role and relative importance in
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pathways common across genetically diverse clones, rather than the dominant clonal genotype, is an avenue that demands exploration. Transcription factor (TF) pathways are imminently druggable due