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Field
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: · PhD or M.D. with a strong background and profound knowledge in the field of either molecular biology, immunology, cancer biology, experience in sequencing or protein structural data analysis is highly
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to assess potato dormancy break, including: data collection, processing, AI model development and classification accuracy assessment. Involved in supporting an electrophysiology-based machine learning model
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/methodologies/learning support A3. Specialist theoretical and practical knowledge of parasitology and immunology. A4. Knowledge of project-specific technical models, equipment, or techniques. Desirable: B1
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world-class departments (from neuroscience and structural molecular biology to infectious diseases and population health), close ties with NHS partners, and a commitment to translational research and high
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world-class departments (from neuroscience and structural molecular biology to infectious diseases and population health), close ties with NHS partners, and a commitment to translational research and high
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degree in immunology, microbiology, molecular biology, computational biology, or a related field. Additional Qualifications Considered Demonstrated expertise in Clostridioides difficile infection models
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as industrial partners. You will be: i) Developing a non-destructive rapid AI-based imaging system to assess potato dormancy break, including: data collection, processing, AI model development and
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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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delivered a state-of-the-art molecular sciences research building. This investment builds on a major recent expansion of our academic staff and investment in our teaching and learning provision, with our
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& design, catalyst design & modelling, and carbon capturing & conversion. Proficiency in fluidized reactor design & optimization, hydrodynamics & molecular dynamics modelling (openFOAM, Ansys Fluent, LAMMPS