Grants and Contributions

Provides a recent Computer Science graduate with career development opportunity in Software Engineering and provide high quality training in computer vision and interactive mapping technologies to develop geospatial analysis and software engineering skills.

Provides a recent bachelor's of science graduate with career development opportunity in an R&D and operations role.

Patients with advanced cutaneous squamous cell carcinoma (cSCC) who are not eligible for or have failed to respond to anti-PD1 immunotherapy have few treatment options. Epidermal growth factor receptor (EGFR) directed chimeric antigen receptor -T cell (CAR-T) therapy is a promising strategy; however, off-target toxicity remains a major obstacle due to expression in healthy tissues. To address this concern, the use of intratumoural (IT) administration of NRC’s novel nanobody-based EGFR CAR-T will be evaluated in the pre-clinical model of cSCC. The aims of the study will be to determine the dosage required for tumour control and evaluate the trafficking and functional T-cell phenotypes in IT administration. It is expected that IT administration will lead to substantially fewer CAR-T cells in all biological compartments than traditional intravenous (IV) administration, and that direct injection of cells will result in different T-cell populations within the tumour.

International Co-Innovation Action Program (ICAP) Project - Datifex is a software company that has developed a digital twin and industrial metaverse platform. We are looking to identify co-innovation partners whose enterprise software is used to manage data that supports materiel readiness for complex assets.

The project will support the development of the firm’s intellectual property capacity.

Laboratory and controlled real-world testing of the data flow management platform for mining equipment

The project will support development of intellectual property capacity within the firm.

This project will test hypotheses and experiment with new mechanisms to design or improve a repeatable and scalable business process, which may result in new business methods in mining solutions.

The objective of this project is to develop an AI-powered workflow automation platform designed to help photographers manage client inquiries, scheduling, and communication more efficiently.

Large Language Models (LLMs) have shown promise in healthcare. Adapting LLMs requires strategies such as prompt engineering, fine-tuning, retrieval-augmented generation (RAG), or Mixture-of-Experts (MoE) and agentic approaches. The project will explore and refine agentic LLM frameworks to improve accuracy, efficiency, and interpretability in dental patient data management.