Manufacturing of consistently high quality products is the commitment of the pharmaceutical industry. To achieve this, new products must be thoroughly tested and the results meet government-approved product specifications. Improving existing and adopting improved analytical technologies for product testing ensure the production of safe and effective products. This is particularly critical for the manufacturing of […]

The main objective of the study is to increase the discovery of important reproduction and health genetic variants in dairy cattle. This could help improve reproduction and health of dairy herds through genomic selection or editing of the genome. In order to find the causative variants affecting reproduction and health traits, a review of the […]

In this project, an advanced silicon-based lithium ion battery will be manufactured. The expected energy density is 750-1000Wh/L and cycle life is about 2000 time (capacity remaining rate>80%), which means the working time of your cell phone, laptop can be extended to 3-5 times on a charge and they can maintain a good working condition […]

Ciena Corporation is a global supplier of telecommunications networking equipment. It develops this equipment in a high product mix, low volume environment. Due to this environment and the short cycle times of its products, the company has product categories, which are highly dynamic both in volume and number of customers. Ciena wishes to be more […]

Noblegen Inc. is an advanced bioproducts manufacturer dedicated to developing cost-effective, naturally-derived biomaterials and biochemicals for a wide range of consumer and industry sectors. We employ a unique organism, algae, to continue to do what it does naturally – decontaminate wastewater sustainably and affordably while also generating valuable biomass for use in biomaterials and biochemicals […]

Type 2 diabetes (T2D) results in high blood sugars and can cause serious complications. Recent studies suggest that treatment with diabetes medications along with lifestyle changes can result in patients not needing diabetes medications for months or even years, a concept known as diabetes remission. The Remission Evaluation of Metabolic Interventions in Type 2 Diabetes […]

Unstructured data refers to data that is present in reports, web pages, newspapers and other media. Such data is the most common data that we see around us and yet no modern tools exist to extract information from it. In this project we will develop techniques to extract the data and apply it to geoscientific […]

Performance anxiety has been shown to negatively impact decision-making as well as academic performance, but it is unclear whether the effect of anxiety on test performance is due to impaired decision-making. Audio-Visual Entrainment (AVE), which involves exposure to rhythmically pulsating light and sound, has been shown to relieve anxiety symptoms — thus, AVE may be […]

Bladder cancer is the fifth most common form of cancer in Canada, however progress in the development of safer and more effective therapies has been slow. The use of antibody drug conjugates (ADC) is a promising therapeutic option that would allow for targeted killing of cancer cells, if the obstacle of getting the drug inside […]

Chronic inflammation is the common denominator for various diseases, including atherosclerosis, age-related macular degeneration (AMD), obesity, type-2 diabetes, liver diseases and even cancers. In most cases, this inflammation is the result of massive pro-inflammatory macrophage infiltration in tissues, due to their aberrant signalling and dysfunction, in presence of fat accumulation. The CD36 scavenger receptor has […]

With a rich acoustic dataset available in the Strait of Georgia (SoG), we propose this research to develop a series of acoustic indicators of productivity for forage (e.g. Pacific herring, mesopelagic fish, euphausiids, zooplankton and ichthyoplankton) and semi-demersal (e.g. Pacific hake and walleye pollock) species within the SoG by using robust multi-frequency techniques. Along with […]

The intern will develop and evaluate new algorithms to improve the accuracy of short-term wind power forecast. The algorithm will be fed with near real-time data (wind speed, wind direction, air temperature, power production, turbine availability) from wind farms in order to improve the forecast over the next 24h. Once the best algorithm has been […]