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Field
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data driven approaches (experimental dataset physics based model dataset) to achieve process optimization, defect prediction and property prediction in various AM processes. The additional specific
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Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high-dimensional data, prediction
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functionalization of inorganic luminescent materials. - Collaborate as part of an interdisciplinary team to design experiments and validate predictions. - Prepare reports and present findings at national and
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across specialties, linking clinical care and research; (2) supporting the development of predictive models for dental disease outcomes using structured and unstructured electronic health records; and (3
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making using quantum probability, open-system dynamics, and classical Markov processes. Derive and test behavioral predictions that distinguish quantum, classical, and intermediate open-system dynamics
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project. The position will provide core expertise in physics-based environmental and ocean modeling, with emphasis on numerical simulation and prediction of ocean conditions such as currents, tides, waves
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identifying and analysing ethical issues in child and adolescent psychosis risk prediction. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range
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to predict disease state, treatment response and the likely consequences of alternative clinical interventions. The position is funded until March 31st 2028 in the first instance, and available immediately
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bioinformatics tools, including specialized research databases and software (e.g., Ensembl, Fiji, NCBI, KEGG Pathway and Gene Ontology (GO) Analysis, SPSS, etc.) (0–10 points). Experience operating bioreactors and
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public health. In this role, you will develop and evaluate novel AI and machine learning methods using large-scale multimodal datasets, contributing to epidemiology-informed foundation models, predictive