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for the successful candidate and illustrates the general nature of the work but is not intended to be exhaustive. In addition, the successful candidate is encouraged to bring their inputs in the research direction
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
to approximate expensive forward and adjoint simulations while preserving underlying physics. Uncertainty-aware inference: combining physics-informed learning for regularization with probabilistic generative
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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postdoctoral researcher to join the Distributed and Intelligent Connectivity (DISCO) research group, working at the interface between 5G/6G networking and healthcare. The selected candidate will contribute
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). Expertise in data and model parallelisms for distributed training on large GPU-based machines is essential. Candidates with experience using diffusion-based or other generative AI methods as
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 16 days ago
nationalities. The research project will lay the theoretical foundations for general network steering by: (i) Identifying its genuine concepts and manifestations, (ii) developing tools for its characterization
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generalizations. Trait-based modeling is a promising approach to deal with this complexity and define relationships between quantifiable traits and the distribution and abundance of species. We are combining field
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including the maintenance of adequate research records. 8. Engaging in open and timely discussion with his/her mentor regarding possession or distribution of material, reagents, or records belonging
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, neuroscience, brain imaging), the NGI (exceptional expertise on genetics and multi-omics data generation & processing), and the highly collaborative atmosphere at WashU. The candidate is expected to lead
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generating preliminary results for grant funding proposals and manuscript preparation. Publishes research findings in reputable scientific journals. Engages in open and timely discussion with their mentor