21 agent-based-simulation-"Multiple" Postdoctoral positions at McGill University in Canada
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resident) level (Institute for Health Sciences Education [IHSE]; Steinberg Centre Simulation and Interactive Learning [SCSIL]; Research Institution of the McGill University Health Centre [RI-MUHC] and The
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 10 days ago
tasks. Proven ability to manage projects efficiently and handle multiple responsibilities simultaneously. Demonstrated capacity to work independently, showing initiative and adaptability in dynamic
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: Post-Doc in the area of AI-based solutions for high-level decision-making for robotic systems. Development, testing and evaluation of the co-planner assistant for operation of harvester machine
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: 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
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the position is based / located. McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication
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climate shocks to natural disasters. Important note: Our team does not conduct wet lab research. This is NOT a laboratory-based (bench science) fellowship. PERL operates across three core pillars: Science
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are available A CV detailing your academic accomplishments A copy of one relevant publication The names and contact information of two potential referees (e.g., current and former research supervisors
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: - To lead the computational part of a collaborative project on AI-assisted design of OPVs - To become knowledgeable in the field of OPVs and the relevant simulations - To learn relevant machine learning
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where the position is based / located. McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English
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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