Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, or AI inference combined with traditional FPGA development workflows. Familiarity with AMD Versal SoC architecture and the Vivado/Vitis tool chains. Basic understanding of x-ray or neutron scattering is
-
) to improve disease characterization. Develop cutting-edge architectures (e.g., federated learning) for medical research. Publish high-impact research in leading journals and conferences. Collaborate with
-
Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments. 3
-
-photon imaging in the ferret. The end goal of our work is to test a model of excitatory-inhibitory interactions against data collected in an animal model with columnar architecture in primary visual cortex
-
departments, including public health science, landscape architecture, landscape engineering, urban and regional planning, property development and property law. The Faculty has 1300 students and 180 employees
-
universities. analyse various vehicle architectures and configurations with special emphasis on the two-stage-to-orbit (TSTO) vehicle based on LOx-methane cryogenic liquid propulsion, engine clustering, low
-
. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
-
scientific facilities: The CFN conducts research on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and
-
the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one year with the possibility of renewal pending
-
. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent