- Sandia National Laboratories (Albuquerque, NM)
- …at the interface of neuroscience, artificial intelligence, and implementing neural -inspired algorithms on conventional and specialized hardware. On any given ... models at differing levels of biological complexity, ranging from neural network theory to neural circuit models...complexity, ranging from neural network theory to neural circuit models constrained by current understanding of biophysical… more
- Sandia National Laboratories (Albuquerque, NM)
- …conducting high-level R&D in neuromorphic computing, artificial intelligence, and spiking neural networks for a variety of applications. The successful candidate ... in areas such as neuromorphic computing, artificial intelligence, and spiking neural networks. A strong background in theory (eg, mathematics, theoretical… more
- University of Southern California (Los Angeles, CA)
- …track, you may focus on: + Track A (AI/ML): Developing physics-informed neural networks (PINNs) for integrating mechanistic constraints into ML frameworks, and ... integration. + Implement scientific ML approaches such as physics-informed neural networks (PINNs) and neural ODEs to...such as physics-informed neural networks (PINNs) and neural ODEs to couple ML frameworks with mechanistic models.… more
- University at Albany (Albany, NY)
- …that leverages advanced, interdisciplinary methodologies. Successful candidates would bridge neural and cognitive levels of analysis, through multi-modal data ... development of computational frameworks that jointly explain behavior and neural dynamics. Expertise in modeling neural data...behavior and neural dynamics. Expertise in modeling neural data and developing methods to compare biological and… more
- University at Albany (Albany, NY)
- …tracking and sensory stimuli presentation. This integration of multi-region neural activity with rich contextual information enables researchers to dissect ... systematic manner, bridging levels of analysis from microcircuits to large-scale neural networks. As neuroscience becomes increasingly data-driven, the need for… more
- University of Utah (Salt Lake City, UT)
- …School of Medicine, as well as the Interdepartmental Center for Neural Interfaces, Robotics Center, Neuroscience Program, and Neurotechnology Training Program. ... in a medical department. General areas of interest include: neural interfaces. neuroprostheses, neurorobotics, neural signal processing, brain-computer… more
- Sandia National Laboratories (Albuquerque, NM)
- …a DOE Q-level security clearance. Qualifications We Desire: + Interest in neural -inspired and artificial intelligence algorithms (eg deep neural networks, ... FPGAs, neuromorphic processors, or machine learning accelerators. + Experience with neural network modeling languages (PyTorch, Tensorflow, Keras, etc) or neural… more
- New York University (New York, NY)
- …York University ( http://www.cns.nyu.edu/malab ) is looking for a postdoc to study the neural basis of planning. Research description: The research will be part of a ... a human cognitive neuroscience lab that both study the neural basis of planning using a task developed in...focus on cross-species analysis of behavior, eye movements, and neural activity, and on building computational models including … more
- quadric.io, Inc (Burlingame, CA)
- Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run ... neural network (NN) inference workloads in a wide variety...automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can… more
- Mount Sinai Health System (New York, NY)
- …as well as patients with diagnosis of compulsivity (eg, OCD); behavioral and neural findings related to the neural basis of decision-making. **Qualifications** ... processes (ie, based on Bayesian inference algorithms) jointly with neural models of cortico-basal ganglia dynamics (ie, based on... models of cortico-basal ganglia dynamics (ie, based on neural recordings) can shed a light on these compromised… more
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