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clinical study to develop prediction models for periodontal disease progression (funded by the National Institute of Dental and Craniofacial Research). Primary responsibilities of the Study Coordinator will
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-based transfer learning classification model for two-class motor imagery brain-computer interface. International Journal of Neural Systems (IJNS). https://doi.org/10.1142/S0129065719500254 * Kudithipudi
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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population changes, and other demographic parameters (survival, fecundity, reproductive success, etc.). These integrated population models (IPMs) are increasingly used in ecology. They offer clear advantages
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-omics analysis, systems modeling, and predictive simulation of host-microbiome-driven disease processes Translation of microbiome and systems-level discoveries into clinically actionable biomarkers
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CORE A*/A conference paper. We invite applications for a postdoctoral position focused on the development of predictive models for clinical outcomes following Deep Brain Stimulation (DBS) in Parkinson’s
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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‑learning techniques in an applied or production‑like environment, including classification or predictive modelling. Experience working with Python and common data‑science libraries (e.g. pandas, scikit‑learn
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/trait data) Conducting statistical modeling, feature selection, and predictive analytics for forest health, resilience, and biomass estimation Supporting data preprocessing, cleaning, normalization, and
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models, and the discovery of novel pathways involved in both normal development and disease, driving progress in regenerative medicine and personalized healthcare. Where to apply E-mail positions@gimm.pt