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until the time of signing the contract. Activity Outline: Development of methodologies for the numerical simulation of partial differential equation systems based on neural networks, with particular
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
immunotherapies, integrating graph neural networks, regulon-aware pooling, and transfer learning with biological regulatory networks. 4) Developing and validating computational biomarkers (IGR burden, TAA burden
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real-time? This project will use computational models of neural networks to derive closed-loop control algorithms to modulate oscillatory dynamics in brain circuits. You will test these algorithms
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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State University of New York University at Albany | Albany, New York | United States | about 1 hour ago
to the university, college, and department. Key areas of interest within this focus on computing and artificial intelligence include, but are not limited to, neural networks, error correction, and system architecture
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are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. For more information and how to apply
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vivo two-photon imaging of neural activity dynamics, imaging of neuromodulator releases, optogenetics, computational modeling of complex animal behaviors and neural dynamics, and network simulations
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of variable distributions [13,14]. Graphic neural networks (GNNs) are new inference methods developed in recent years and are attracting increasing attention due to their efficiency and ability in solving
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production at LHCb https://arxiv.org/pdf/2507.13447 - Theory-Informed Neural Networks for Particle Physics. Knowledge & Experience Essential Background in high energy particle physics and/or advanced quantum
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and neural plasticity. In this position, the successful candidate will develop and teach undergraduate and graduate courses in sound and health, including but not limited to music cognition