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particle formation for atmospherically relevant molecules. ORCTOOL (Organic Cluster Tools) aims to create a toolbox for understanding and cost-effectively predicting the rate of massively multicomponent
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to pre-train a common GNN backbone model capable of predicting electronic, structural, and thermal quantities while leveraging underlying symmetries for computational efficiency. There will be a
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developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early Earth, (2) Modern Earth and (3) Exo-Earths, we want to explore
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and validation of a predictive pipeline for excipient–biologic interactions Integration of experimental SAXS data with AI-driven structural modeling to predict oligomerization behavior and excipient
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
constitutes a major bottleneck for solving efficiency. One line of research, in the context of the ANR EVARISTE project, is to improve our ability to predict the effectiveness of an ordering heuristic based
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, including basic research to identify novel biomarkers and therapeutic targets, mathematical and computational modeling to predict disease progression and therapy response, the design and validation
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 days ago
to the weather prediction and climate projections. This is mainly due to our lack of understanding of cloud/snow ice microphysics and over-simplified representation in models. On a broader sense, although weather
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project activities, as predicted in the application: Activity 2. TRL 5 cultivation and AI model development Activity 3. Biomass analysis and process techno-economic and sustainability assessment
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. We will prioritize hits with suitable predicted drug metabolism and pharmacokinetic properties for optimization using organic synthesis. Finally, you will validate specificity using biophysical methods
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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