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frontiers in oenology, central to the development and management of sustainable oenological practices. This project aims to develop predictive models of longevity and shelf-life based on easily acquired
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Actionable Data for Opioid Response in KY (RADOR-KY) project. This position will build data science solutions and predictive models for time series forecasting systems related to risk prediction, outcome
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inefficiencies and fragmentation across teams Enable more predictable and scalable support to research activity To support the implementation and consolidation of this model, ICFO is seeking a Coordinator of
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function model (classifier) that can be used in new patients to accurately predict who will (/will not) develop chronic postsurgical pain; and identify, in a subset of preselected adolescent patients
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the integrative analysis of immunological, clinical, and omics data derived from clinical studies, with the goal of generating predictive models of vaccine-induced immune responses. The project requires expertise
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on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary The Cushing Lab (https://cushinglab.caltech.edu/ ) seeks a
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of mold free shelf-life predictive models, determining the number of variables as well that need to be recorded to be able to train the model; (ii) design and development of a model to predict mold growth
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to simulate seismic hazard scenarios. The objective is to improve the predictive performance of existing models, addressing both non-permanent shaking effects and permanent coseismic phenomena. Innovation lies
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how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 18 hours ago
. • Application of artificial intelligence techniques to predict cardiac behavior simulated from the developed models. • Support to the Principal Investigator in coordination and management tasks. Work Location(s