Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
machine learning, deep learning, foundation models, agentic AI systems, graph neural networks, and knowledge‑graph–based reasoning. Familiarity with integrating AI into scientific workflows at scale
-
research spanning detector simulation, Spiking Neural Network (SNN) design, neuromorphic hardware, and data-rich experimental systems such as CMS pixel detectors, Timepix4, and novel photodetector
-
Background in REST API development and database management (PostgreSQL, MySQL) Proficiency with HPC environments and job schedulers (e.g., SLURM) Experience with deep learning frameworks and neural network
-
and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
-
dynamics, earthquakes). Experience with physics-informed neural networks or other physics-based machine learning approaches. Knowledge of uncertainty quantification and interpretation in geophysical modeling
-
on circular economy research Experience in working in the genetic algorithm and artificial neural networks is preferred. Experience in manufacturing process modeling of advanced manufacturing technologies
-
descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). Preferred Qualifications: Knowledge of Approximate, Local, Rényi, Bayesian differential privacy, and other
-
, Scikit Learn, etc., in applied problem-solving contexts. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (Transformers). A broad
-
. Handle high-cadence sponsor data deliverables. Scaling of deep neural network inference and deploying tools for polygonization of building footprint vector geometries. Develop and implement workflows