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Field
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and mass spectra using quantum chemistry and related methodologies. - Create AI/ML models for high-fidelity prediction of the infrared and mass spectra and validate their use in matching experimentally
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of economically important traits. Evaluate and improve genomic prediction models for use in livestock selection programs. Integrate genomic data into applied breeding strategies to accelerate genetic improvement in
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. This role is ideally suited to a researcher with experience in computational structural biology, glycobiology, or protein modelling, who is interested in applying AI-enabled structural prediction and glycan
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this role is to develop advanced computational models and experimental data sets focused on the characterisation of target arteries and veins, including biaxial testing of cadaveric tissues.. The outcomes
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. Personalization of the chemotherapeutic treatment in patients with colorectal cancer. Our laboratory has been interested for long time in identifying new molecular biomarkers capable of predicting the response
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essential for developing reliable predictive models and ensuring safe and robust component design. This position is part of the CastAl project, which aims to identify the mechanisms governing stochastic
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for developing reliable predictive models and ensuring safe and robust component design. This position is part of the CastAl project, which aims to identify the mechanisms governing stochastic fracture in HPDC
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genetic correlations, development and evaluation of polygenic scores, and integration of genomic predictors into multivariable and machine-learning prediction models for treatment outcome. Working closely
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traction motor noise and vibration in residential buildings, including conducting sound intensity and vibration measurements, analysing acousto-structural transmission paths, developing predictive models
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; familiarity with data warehouse, ETL, API design or Trusted Research Environment / Secure Data Environment access Working knowledge of time-series analysis, predictive modelling or incidence/recruitment