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Field
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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
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national scale programmatic decisions and policy. Specific activities include: Operationalize, and where needed, improve Bayesian spatio-temporal feral swine abundance model allowing predictions to be
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modes, effects, and criticality requires deep domain knowledge and careful analysis. Collecting High-Quality Sensor Data. Simulating Realistic Fault Conditions. Developing Reliable Fault Prediction Models
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of target compounds. Carry out photophysical characterization to validate predictions and refine models. Evaluate dye performance in bioimaging assays and translate results into actionable design principles
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
the discrepancy between theoretical predictions and the actual observed behavior. The objective is to develop model-based artificial neural network tools that combine the strengths of traditional numerical
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of pharmaceutical formulation and manufacturing processes. The role The post holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will
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drugs and proteins, biosimilar proteins, generic peptides, and nanoparticle therapeutics. Project will apply predictive analytical tools to identify patient populations at risk for adverse immune
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind