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, Embedded Systems, Cloud/Green/Ubiquitous/Mobile Computing and Networking, Cybersecurity and Trusted Computing, Machine Learning, Data-Centric Computing, Computer Architecture •Power Electronics
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transforms current AI for Science paradigms focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). They will
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Laboratoire Modélisation et Simulation Multi Echelle UMR 8208 | Créteil, Île-de-France | France | about 2 months ago
, machine learning and numerical modeling. The work will focus in particular on characterizing fluid flow within the vascular network during mechanical loading, estimating the spatial distribution of LCN
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longitudinal methods, multilevel modeling, causal inference, Bayesian methods, computational modeling, and machine-learning approaches. Responsibilities include maintaining an active program of
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complementary expertise in scientific machine learning and constitutive modeling of anisotropic and compressible materials. Minimum Qualifications Required PhD in mechanical engineering, aerospace
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application areas, including autonomous systems, robotics, and machine learning systems, among others. Specifically, the Jr. Data Researcher will help to create and modify on the back end the existing
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
-assisted subsurface characterization and monitoring Distributed Acoustic Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion
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emerging machine learning architectures and advanced AI methodologies. Knowledge of multimodal modeling approaches integrating imaging, genetic, and clinical datasets. Familiarity with explainable AI
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will be performed by the applicant by running multiple fermentation batches using a rational design of experiment (DoE). This data will then be used to train a model (either machine learning or
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with BESA (EEG) and/or Satori (fNIRS) Physiological signals such as EEG, fNIRS, ECG, GSR and other biosignals. Multimodal data analysis Machine learning and advanced statistical modeling Research