Mitacs is launching the Business Strategy Internship (BSI) program in collaboration with Canadian business schools. BSI is a 16-week internship program that will offer undergraduate and graduate students the opportunity to build a strategic project in alliance with a business or non-profit (NFP) in Canada. The award will offer $10,000 to interested students who are […]

Ekidna Sensing is in a growth stage and looking out to build marketing model for the future growth that will be established during this covid period replacing the traditional methods in handling the business. The internship will involve collaborating on building the sales/marketing model in the context of COVID19. This could include activities such as […]

The virtual library intern will work with the supervisor and the Director of Education and Accreditation to develop a virtual library of virtual teaching resources and materials, including recommending a platform for hosting and creating the infrastructure that meets privacy requirements. The intern will also seek, collect and categorize the virtual materials, ensuring that they […]

The project work falls in the field of production of Biosuccinic acid which considered as a important intermediate chemical from woody biomass(lignocellulosic biomass). Conventionally,Succinic acid is made from nonrenewable sources i.e.crude oil. Dr.Rakshit’s lab already patented a process of biosuccinic acid from woody biomass at lab scale. The ultimate objective of this project is to […]

Some healthcare providers have concerns, misconceptions, and reluctance to receive the COVID-19 vaccine, which puts them at risk of occupational and public exposure to the virus. This is called vaccine hesitancy, which is defined as the delay or refusal of vaccines in the presence of vaccination services. Widespread vaccination is an effective public health measure […]

AIS Inc. is at the forefront of developing practical mobile robots for various markets. Mobile robots are considered as very complex systems comprising of hundreds of interacting components in complex system architectures. Developing such complex robotic systems, particularly in large scale, requires a coherent collaboration and engagement on various specialized areas. All of the complex […]

We propose a meta-analytic project which aims at summarizing Post-Authorization Surveillance Safety data on Advate, a recombinant FVIII concentrates used to treat patients with Hemophilia A. The study will involve the largest cohort of hemophilia patients on FVIII concentrates analyzed in theliterature. The project represents an attempt to sustain a methodologically strong approach in the […]

Through this project, the intern will further enhance and learn more about: • Knowledge in a business field- not only will this opportunity expand his understanding of B2B marketing, but it will also provide further exposure to the Canadian business culture • Methods for solving business problems- this project will allow the intern to use […]

Through this BSI internship, the student intern will make themselves available to the startups within the Town of Innisfil’s (“TOI”) business incubator, to provide them with business strategy and legal guidance. Much of this work will include assisting a variety of technology startups with intellectual property research and strategic guidance in the interest of ensuring […]

Buzaker Law Firm is looking for ways to innovate and bridge access to justice for small businesses, struggling to stay afloat, meeting their commercial tenancies obligations and protecting their intellectual property. Provision of legal information on the business, legal, and IP strategy to small businesses during the Pandemic can help alleviate some of the challenges […]

This project is focused on improving the theory, software and scope of applications of quantum computational chemistry. The intern will work with the company research team to further develop new theoretical methods which are under development, implement them into code as part of the existing open-source PennyLane package, and run tests for modelling the vibrational […]

In many real-world machine learning problems, inadequate labeled data and extensive unlabeled data are usually available. Normally, unlabeled data is collected routinely, though the high cost associated with labeling the data is high for generating the labeled training dataset for supervised learning. Moreover, the lack of domain experts and the time-consuming data labeling, especially in […]