Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Toronto
- McGill University
- University of British Columbia
- University of Saskatchewan
- Northern Alberta Institute of Technology
- Mount Royal University
- SAIT Polytechnic
- Dalhousie University
- Thompson Rivers University
- OCAD University
- University of Lethbridge
- National Research Council Canada
- Carleton University
- University of Northern British Columbia
- Nature Careers
- Canadian Association for Neuroscience
- Ryerson University
- Universite de Sherbrooke
- University of Waterloo
- BioNano Lab
- Institut national de la recherche scientifique (INRS)
- Natural Sciences and Engineering Research Council of Canada
- Simon Fraser University
- University of Guelph
- 14 more »
- « less
-
Field
- Economics
- Medical Sciences
- Linguistics
- Computer Science
- Business
- Arts and Literature
- Biology
- Engineering
- Education
- Materials Science
- Social Sciences
- Psychology
- Science
- Law
- Sports and Recreation
- Humanities
- Mathematics
- Chemistry
- Philosophy
- Environment
- Earth Sciences
- Design
- Physics
- Statistics
- Electrical Engineering
- 15 more »
- « less
-
. Key Responsibilities Lead AI/ML algorithm development for predicting plant water and nutrient uptake under varying environmental and growth conditions. Analyze multi-source data, including aerial and
-
power of data science and algorithmic research with the fields of democratic theory, political science, and public policy. Ideally, the candidate has expertise and interest in innovative research using
-
the activity of the laboratory technicians servicing the labs Supporting the selection, procurement, and installation of equipment Managing laboratory budgets Scheduling and coordinating lab access Research
-
characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
-
characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
-
collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
-
Number: COMP 251 - Course Title: Algorithms and Data Structures Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain
-
Number: COMP 360 - Course Title: Algorithm Design. Hours of work (per term): 90 Required duties: • - effectively and timely communicate with the instructor and the students; • - maintain and observe
-
work independently on complex projects. Experience and Education Master’s degree in Software and Computer Engineering (French engineering schools are preferred). Experience in optimizing ML algorithms
-
a training dataset for developing machine learning algorithms for increasing the consistency of quality control in two cohort studies: healthy controls and epilepsy patients. Key Responsibilities