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sustainable fluorination reactions. Under the supervision of Dr. Chris Ewels, a CNRS Research Director and expert in DFT modeling of nanocarbon materials, the postdoc will lead Work Package 2 (WP2), which aims
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Responsibilities: Develop a predictive model integrating the direct and indirect costs of urbanization. Calibrate this model using real data from specific case studies. Simulate urbanization costs based on various
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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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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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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 20 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
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its abnormal growth in the form of a bone nodule. The objective of this thesis is to develop a multi-model, multi-physics, and multi-scale numerical approach for predictive simulations to: 1 / reproduce