25 parallel-programming-"Meta" Postdoctoral research jobs at McGill University in Canada
Sort by
Refine Your Search
-
Research, and Meta. Responsibilities: The Postdoctoral Fellows will be responsible for leading ongoing innovative research projects. Examples include: The development of probabilistic deep learning models
-
: Department of Chemistry Position Summary: Assemble and test the electrochemical system. This will include adapting a program to run the instrument. Synthesize new materials based on the needs of other McCalla
-
to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing
-
qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify
-
identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members
-
& Evidence: Investigating applied policy and programming questions to strengthen pandemic prevention, such as early warning systems, crisis data infrastructure, and overlooked drivers of vulnerability
-
candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons
-
diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part
-
, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members
-
approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within