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, as well as from industry. The successful candidate will work in the established collaboration between DSB and ICGI to develop multimodal deep learning models for predicting prostate cancer
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so that we can improve the prediction, diagnosis, prevention and treatment of common diseases such as Alzheimer?s, cancer and cardiovascular disease. We take a computational approach focused on
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areas: Artificial Intelligence/Machine Learning for Drug Discovery: Designing and applying machine learning models to identify new drug targets, predicting drug efficacy and toxicity, and optimizing small
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of the SU(N) Fermi-Hubbard model and its low-temperature phases at the microscopic level. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1003
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or biases in data collection, storage, and processing pipelines. Additionally, the candidate will develop AI models that can adapt to dynamic and evolving data environments, incorporating mechanisms
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profiling, and gnotobiotic mouse models to create predictions for which infants are most susceptible to sepsis. We are looking for an enthusiastic Postdoctoral Research Associate to join our team
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injury risk analysis, predictive analytics, and recruitment and talent identification models; Works with individual players and helps them develop on the field through video analysis; Participates in
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). These collaborations enable practically relevant and breakthrough results. This team goal requires a quantitative model describing and predicting sperm motility under various conditions. You will develop the digital
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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, size-dependent properties prediction, mis-linkage between what occurs at the nanoscale and bulk scale, and transient NB dynamics associated with shockwave penetration, as well as the difficulties