This internship is the first in a series of four which Kinexus is undertaking with ACCELERATE BC which will support its overall ambitious goal of creating high resolution maps of internal cell communication networks that are gender, age, tissue and disease-specific. These maps will be needed for identifying disease diagnostic biomarkers that are phospho-sites and drug targets that are kinases. The dividends of these efforts will be improved diagnostics and therapeutics for personalized medicine delivery.
This project involves working with Translink - the Greater Vancouver transit authority, covering buses, skytrain, seabus, trains, and ferries - to conduct initial research to examine the viability of an automated public bicycle system similar in scale and design to systems recently initiated in Paris, Lyon and Oslo.
There are certain features of skin lesions or moles that are indicative of cancer. Texture (spatial variation of colour/intensity) or patterns is known to be one of these features. This research seeks to quantify this textural information in order to improve the performance of methods to automatically diagnose melanoma. Currently, dermatologists are very proficient at interpreting this textural information, and easily outperform automated techniques.
Automated Systems Research (ASR) has been supplying software to the roofing estimation market for close to 20 years. While the lack of competition in this niche market has provided for a steady ongoing business opportunity, it has created a vacuum of research in this area. One of the recurring research problems at ASR is that of generating the entire surface of a sloped roof given the building’s polygonal outline and also the roof slope angle at each outline edge.
It is estimated that one third of the world’s population is infected by Mycobacterium tuberculosis. With the emergence of drug resistant tuberculosis, the World Health Organization has declared tuberculosis a global health emergency. UDP-galactopyranose mutase, an enzyme essential for tuberculosis bacterial growth and infection, will be studied by a protocol which combines advanced NMR and computational modeling techniques.
Nokia is interested in research of both in-body (implanted) antennas and antennas in close proximity to the human body. Nokia is particularly interested in making positive use of the electromagnetic coupling between the antenna and the human body, know as positive body effects. The internship research will focus on fundamental antennas, electric and magnetic dipoles in lossy matter, with a goal to show, quantitatively, that the magnetic dipole is better suited to implanted applications.
The proposed project combines structural biochemistry with high-performance molecular simulations to generate valuable insight into the development of the next generation of ligands that can be used to develop vaccines. The collaboration between the academic and industry partner creates an ideal opportunity to combine theoretical and experimental approaches for better lead generation and development of scientific knowledge. Zymeworks will have an opportunity to validate its ZymeCAD™ platform for pharmaceutical applications.
Polymer Electrolyte Fuel Cells (PEFC) are under intense research as highly efficient and clean power sources for transportation and portable applications. The Cathode Catalyst Layer (CCL) of PEFC, usually formed by carbon supported Pt-based catalyst, is considered as the most critical component. It involves all processes relevant to fuel cell operation. Cost and abundance of Pt is the major challenge for the commercialization of PEFC technology. Recent results in experiment and modeling indicate that catalyst activity and utilization could be improved by substantial factors.
Triant Technologies provides the ModelWare Fault Detection software product to monitor sensor data collected from advanced manufacturing tools such as those used for semiconductor and flat panel display manufacturing. ModelWare Fault Detection software performs a range of analyses, including online, multivariate data analysis using a proprietary algorithm and implementation. The goal for this project is to improve the performance of the multivariate analysis methods when used with complex manufacturing equipment.