Physics Informed Neural Networks Jobs in California

... physics-informed ML (PINNs, neural operators). • Familiarity with Docker/Kubernetes, CI/CD, Slurm, or other workload managers. • Experience with Graph Neural Networks, Physics-Informed Neural ...

Experience with Physics-Informed Neural Networks (PINNs), neural operators, surrogate modeling ... uncertainty quantification, or digital twins. * Familiarity with TCAD, FEM, CFD, Monte Carlo ...

Experience with Physics-Informed Neural Networks (PINNs), neural operators, surrogate modeling ... uncertainty quantification, or digital twins. * Familiarity with TCAD, FEM, CFD, Monte Carlo ...

Experience with Physics-Informed Neural Networks (PINNs), neural operators, surrogate modeling ... uncertainty quantification, or digital twins. * Familiarity with TCAD, FEM, CFD, Monte Carlo ...

Leverage machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part ...

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...

Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...

... Networks, Physics-Informed Neural Networks, Neural Operators, and Transformer architectures • System-Level Thinking: Experience with cloud computing platforms (AWS, GCP, or Azure) and high ...

... physics-informed neural networks Preferred : • Hands-on experience with CFD or FEM solvers • Experience with geometry kernels or parametric CAD APIs • Background in differentiable simulation or ...

Experience with Graph Neural Networks, Physics-Informed Neural Networks, Neural Operators, and Transformer architectures * System-Level Thinking: Experience with cloud computing platforms (AWS, GCP ...

... or physics-informed neural networks • Experience with differentiable simulation or differentiable rendering • Hands-on experience with CFD, FEM, or mesh generation • Contributions to open ...

As a bonus, you may have experience working with hardware-in-the-loop training, mixed-signal hardware, quantization, or physics-informed neural networks Company : Unconventional AI rethinks computer ...

Expert-level understanding of at least one modern architecture class such as Fourier Neural Operators (FNO), neural operators, MeshGraphNet, Transolver, graph neural networks, physics-informed neural ...

Expert-level understanding of at least one modern architecture class such as Fourier Neural Operators (FNO), neural operators, MeshGraphNet, Transolver, graph neural networks, physics-informed neural ...

Suggest ideas to drive the AI strategy for engineering design, with a focus on physics-informed neural networks (PINNs), digital twins, and high-fidelity model surrogates. * Research and test new AI ...

Expert-level understanding of at least one modern architecture class such as Fourier Neural Operators (FNO), neural operators, MeshGraphNet, Transolver, graph neural networks, physics-informed neural ...

Background in physics-informed neural networks or scientific ML * Experience with high-performance computing for ML * Publication record at top ML conferences (NeurIPS, ICML, ICLR, etc.) What We ...

Develop surrogate models (e.g., physics-informed neural networks, neural operators, graph neural networks) that approximate high-fidelity simulations at orders-of-magnitude lower cost. * Integrate ...

Develop surrogate models (e.g., physics-informed neural networks, neural operators, graph neural networks) that approximate high-fidelity simulations at orders-of-magnitude lower cost. * Integrate ...