In the Department of Population Medicine at the Ontario Veterinary College the position for a MSc Candidate is available in the Epidemiology program under the supervision of Dr. Cathy Bauman.
Never has the need been greater for individuals to receive training in the principles of Epidemiology and Applied Clinical Research. Improving the success rate and safe use of medical interventions in both veterinary and human medicine is essential to ethical vaccine, drug and surgical procedure development.
This MSc program provides foundational training in the principles of Epidemiology along with specific additional study in the conduction of clinical trials. In addition, this MSc is unique to other coursework MSc opportunities as students will participate in a 3-4 month placement instead of a completing a Project in Epidemiology.
The position starts in September of 2020. Students admitted into the program will undergo two semesters of full-time course work (fall and winter) prior to interviewing for a placement in the spring semester in an area of clinical research of their interest. The program typically is completed in 3 semesters or 12 months.
Students interested in applying will have successfully completed an undergraduate program in high academic standing and have a strong interest in data analysis, quantitative epidemiology and clinical research in either human or animal species.
Review of applications will begin July 30th, 2020 and continue until the position is filled. Please note that coursework MSc positions are typically self-funded. Applicants must meet the admission requirements into a graduate program by the Faculty of Graduate Studies at the University of Guelph.
Interested applicants should please submit a cover letter indicating their interest in the project and relevant experience, an unofficial transcript, a full curriculum vitae (CV), and contact information for two references to: Dr. Cathy Bauman, Assistant Professor, Department of Population Medicine, email@example.com.
Additional information concerning graduate studies in the Department of Population Medicine is available at: https://www.uoguelph.ca/graduatestudies/programs/popmed
MSc position: Pet owner perceptions and motivations for treat feeding in dogs and cats.
Interested and qualified applicants are invited to apply for a MSc position in the Department of Population Medicine, Ontario Veterinary College (OVC) at the University of Guelph.
The project is an extension of a previously completed PhD research project which investigated Canadian and US veterinary student and pet owner perceptions of companion animal nutrition. The project will investigate the motivations, perceptions and behaviours that pet owners hold in relation to feeding treats to dogs and cats. This is an exciting investigation into a presently under researched yet important topic.
As a part of the prescribed and elective courses that make up the MSc program and the research components of the graduate degree program, the successful applicant will gain experience and expertise in epidemiology, veterinary pedagogy, the use of effective research methodologies (qualitative and quantitative) and preparing and submitting manuscripts for publication.
Preferred qualifications and attributes for the successful candidate will include: an excellent academic record; the ability and desire to work collaboratively in a team; excellent reading, writing, comprehension and communication skills in English; experience in research; publication experience; and a valid Canadian driver’s license.
The anticipated start date is September 2020. The position will be held open until a suitable candidate is found. Enrolment into the graduate program will be contingent on the successful applicant applying for an and receiving an OVC Scholarship.
To apply, please forward the following documents via email:
1. a cover letter with a statement of your interest in graduate studies, including your research and career goals
2. curriculum vitae with a detailed description of your academic courses and research experience
3. copies of official or unofficial academic transcripts
4. contact details of at least two referees.
Please send all applications to:
Dr. Deep Khosa
Antimicrobial resistance genes in bioaerosols in Canadian arctic, rural, and urban environments: sources, profiles, transport and fate (Funded by NSERC Discovery Frontiers: AMR in the Environment)
Human activity has been selecting and amplifying bacteria that carry genes for antibiotic resistance. Bioaerosols, airborne particles of biological origin, are understudied as reservoirs and propagation sources of antibiotic resistant microbes. They are found everywhere, emitted from natural and man-made sources such as agriculture, water, plants, and industrial activities and can lead to long distance transmission of biological agents. The potential impact of human activities on spreading of antimicrobial resistance through the air must be better understood to fill appropriate risk and prevention models. Various sampling strategies will be deployed across Canada at various sites (urban, rural, arctic) and long-distance transport and high atmosphere antimicrobial resistance content will be addressed. The program will fill huge gaps in the understanding of the spreading and exposure of antimicrobial resistance through bioaerosols in Canada. An important outcome will be to add bioaerosols to risk assessment models and determine appropriate mitigation/attenuation measure in key areas.
AIM 5: Integrated Assessment Model on Antimicrobial Resistance – role of bioaerosols
Although much work has been done on specific aspects of AMR, critical aspects of the epidemiology of AMR, including multiple exposure pathways, bacterial relationships, co-selective pressures, ARG transmission, and the combined and cumulative effects of antimicrobial use (AMU) in humans, animals and crops have not been well assessed. Many modelling and risk assessment approaches are well suited for synthesizing information for specific questions but not for considering with multiple complex issues. Integrated assessment models (IAM), developed for dealing with complex issues such as climate change, provide a comprehensive mechanism for organizing and processing evidence and the uncertainties that exist for complex systems in an easily interpreted, ordered, and computationally efficient manner. An IAM specific to AMR in Canada (IAM.AMR) has been under development since 2015. The IAM.AMR quantitatively characterizes multiple and linked transmission pathways for the dissemination of AMR among humans, animals and the environment.
Through the proposed work, the existing IAM.AMR framework will be expanded to include dissemination of AMR through aerosols adding to environmental pathways addressing dissemination through water, and manure application to crops and sewage. This process will include new data capture and evaluation, and subsequently populating the IAM.AMR in Analytica (Lumina) with the new data from the other subprojects including far north and hospital environments, and linking to existing swine, poultry and aquaculture pathways, and incorporating information from the short and long-distance transport models. Ultimately the relative importance of aerosol transmission from multiple sources will be assessed relative the contributions of transmission through the food chain, healthcare settings, water, etc. in order to identify optimal intervention points for AMR mitigation strategies.
We are seeking a strong, analytic PhD student to work with key AIM 5 team members at the University of Guelph and the Public Health Agency of Canada, and the larger project team, led by the Université Laval, to develop an Integrated Assessment Model of Antimicrobial Resistance exploring the role of bioaerosols. Funding is available for 4 years and the anticipated start date is January 2021.
To apply, please submit a cover letter indicating your interest in the project and relevant experience, an unofficial transcript, full curriculum vitae (CV), and contact information for two references to Dr Jane Parmley, Department of Population Medicine, University of Guelph (firstname.lastname@example.org).