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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 10 days ago
“Application deadline and submission” of this Call, the candidates must submit in the application process a Declaration of Honor regarding the benefited Research Fellowships, issued as defined in the model
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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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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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, 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
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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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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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-supervised by Dirkjan Schokker Where to apply Website https://www.academictransfer.com/en/jobs/358086/phd-ai-models-to-identify-disea… Requirements Specific Requirements You are an accurate, structured, and
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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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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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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