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: Prague, Hlavni mesto Praha 186 75, Czechia [map ] Subject Areas: Homological Algebra, Representation Theory, Commutative Algebra Appl Deadline: 2026/03/01 04:59 AM UnitedKingdomTime (posted 2026/01/21 05
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NAMD Deep Learning Development: Experience developing, validating, and deploying deep learning models, especially using Pytorch Multi-Omic Data Representation: Ability to build deep representations
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into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. As part of this project, we are seeking
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
ecosystem services. By synergistically combining passive/active multi-scale remote sensing data with mechanistic biogeochemical and hydrological models, this research aims to address critical knowledge gaps
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, Representation Theory, Topology, and Probability. The department has a thriving Ph.D. program that attracts students from across the globe and offers positions with close faculty interaction and active research
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stylized quantitative representations of political and institutional processes, and then incorporate them into (or couple with) global and subnational energy models to study core policy questions related
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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representation and individual differences using large-scale multimodal datasets and computational tools. Job Related Minimum Required Education and Experience Requires a Doctoral (Ph.D.) degree in area of research
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 4 days ago
and outgoing longwave radiation at the top of atmosphere. Increased knowledge of radiative transfer in the Earth‘s atmosphere, and therefore the energy imbalance, is needed for understanding the climate
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the production of spatially granular and engineering driven representations of model results. Experience working across disciplines in multi-institution and multi-stakeholder collaborations is desirable