Sessional Lecturer

1 month ago


Hamilton, Canada McMaster University Full time

Neural Networks and Deep Learning - 3 unit(s)

Department: W Booth School of Engineering Practice and Technology

Course Description: Neural network architectures and training, parallel implementations and implementations using accelerated hardware, convolutional neural networks, recurrent neural networks and deep learning. Three lectures, one term.

Term: Spring/Summer - May 6 - August 9, 2024

Course Code: SFWRTECH 4NN3

of Units: 3

Course Days & Hours: Tuesday 6:30 - 9:30pm

Stipend: $8, 943

**Employment Equity Statement**

McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations and within the lands protected by the “Dish With One Spoon” wampum agreement.

The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity.

Job applicants requiring accommodation to participate in the hiring process should contact:

- Human Resources Service Centre at 905-525-9140 ext. 222-HR (22247), or
- Faculty of Health Sciences HR Office at ext. 22207, or
- School of Graduate Studies at ext. 23679

to communicate accommodation needs.


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