43 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in canada in Canada
-
The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data
-
. To learn more about these options, please contact the NRC Hiring team using the contact information below. The role NRC’s Herzberg Astronomy & Astrophysics Research Centre is excited to advertise
-
about these options, please contact the NRC Hiring team using the contact information below. The role NRC’s Herzberg Astronomy & Astrophysics Research Centre is excited to advertise a Plaskett
-
. The research will focus on artificial intelligence, machine learning, data analytics, and recommendation systems, with applications to personalized decision-making, digital platforms, digital health, and mental
-
indicators changes, psychological state improvement mechanisms of natural environment intervention on human bodies. The researcher will participate in full-cycle project design, data collection, empirical
-
to individual variation in brain structure and function across development and ageing, and in neuropsychiatric disorders. The research will integrate human neuroimaging with genomic and epigenomic information
-
, environmental earth science, computer science, data science, atmospheric physics, or a related discipline. Experience in cold regions hydrology or water resources engineering and computational methods is
-
or manuscript in preparation) Contact information for two academic or professional references (letters may be requested for shortlisted candidates) Applications should be submitted to [email protected]
-
. This role focuses on addressing the challenges of complex, heterogeneous data within the One Health framework. The successful candidate will join the research group of Dr. Elif Acar, contributing
-
methods and co-design; · Demonstrated skills in data management; · Education/training and experience in qualitative and quantitative research methods; · Excellent communication skills