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classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks. Familiarity with software
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About the Opportunity The successful candidate will contribute to an ambitious project developing perceptual AI agents that assist humans in daily activities through behavioral understanding and
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integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics into their models; or 2.Computational social scientists with experience in
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”. The main objective of the SPAN network is to address this need by prioritizing the testing of different neuroprotective agents in humans based on their measured comparative efficacy in experimental stroke
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, or decision-making in autonomous driving or robotic systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents
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, the causative agent of cholera. We perform detailed studies using specimens derived from human samples. Projects include: Creating knock-out mutants to study how V. cholerae virulence is impacted by gut bacteria
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- Exploring Foundational Models and Agentic AI to address challenges in energy storage and conversion. Position Requirements Candidates must meet the following qualifications: 1. Educational Background: - A
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years) Contract:TV-L Your Tasks Contribute to use cases for novel diagnostic tools and develop and implement mathematical and computational models (microsimulation, agent-based, state-transition
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the physical (and social) world. To move toward truly autonomous (and socially intelligent) agents, this research theme focuses on the development of World Models specifically tailored for human behaviour
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 2 months ago
properties and a variety of potential applications. Application of the molecular dynamics methods combined with the approach based on the thermodynamic models of multicharged surfactant adsorption can provide