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The T-CAIREM Summer Research Program funds 30 paid summer research positions in which students complete an AI and health project with a T-CAIREM researcher. Each student receives a minimum stipend of CAD $7,200 for at least 350 hours of full-time work between May 3 and September 3, 2027.
Eligible projects include developing or applying AI methods to health problems, clinical, basic science or population health research, AI ethics and governance, health policy, patient engagement and implementation science. Students and supervisors submit one joint application, and a list of participating researchers and projects is published after November 16, 2026.
An online information session runs November 27, 2026, and applications are due January 24, 2027 at 11:59 pm ET. Students must attend at least 75% of weekly professional development seminars and present at a final in-person mini-conference.
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Or search similar grants →According to the current listing, eligibility includes: Students enrolled at a Canadian university in an undergraduate, professional (e.g., medicine) or course-based master's degree, including those graduating in May 2027 who start graduate studies in September 2027; international students legally entitled to work in Canada are eligible; research-based graduate students and high school students are not. Confirm the full requirements in the official notice before applying.
The current listing shows minimum CAD $7,200 stipend per student for a 350-hour summer research position (30 positions). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for T-CAIREM 2027 Summer Research Program for Student AI in Health Research Projects are due January 24, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
T-CAIREM 2027 Summer Research Program for Student AI in Health Research Projects is funded by Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The Farm Robotics Challenge is a student competition rather than a research grant, and the distinction determines who should spend time on it: the money flows to teams of enrolled students working under a faculty or teacher advisor, not to principal investigators, and the deliverable is a working robotic system demonstrated in an agricultural setting rather than a paper. Organized by UC ANR Innovate with the NSF-USDA AI Institute for Next Generation Food Systems and backed by California's Jobs First initiative, the challenge asks teams to build autonomous systems or robotic attachments addressing real production tasks - planting, weeding, harvesting, pest management, field mapping and data collection. Total prize funding exceeds $100,000, anchored by a $50,000 Grand Prize presented by The Reservoir; in a recent cycle that grand prize was structured as a SAFE investment rather than a straight cash award, which matters because it implies an expectation that the winning team may incorporate, and teams uninterested in commercialization should confirm the current cycle's award instrument before entering. Three divisions keep the competition tractable across education levels: Division I for four-year universities with a cap of 50 percent graduate students per team, Division II for community colleges and trade schools, and Division III for middle and high school teams in grades 7 through 12. Every team requires an advisor, typically faculty, staff, a graduate student or a teacher. The cycle runs long, which is the main planning consideration - pre-registration opens August 3, 2026, project proposals are due November 13, 2026, final projects are due May 2, 2027 and awards are presented in June 2027, meaning roughly nine months of sustained student effort across two academic terms. Scale is real: a recent edition drew 96 teams from 13 countries. This is a good fit for agricultural engineering, robotics and CS programs seeking a structured capstone with industry exposure, and a poor fit for anyone looking for research funding on a normal grant timeline.
MIDAS at the University of Michigan is recruiting its 2027 cohort of Michigan Data Science Fellows, a two-year postdoctoral program. It trains fellows to apply AI and data science to social science, biomedical and healthcare research, and to develop data science methodology. Fellows work in an interdisciplinary environment with other MIDAS fellows and more than 750 MIDAS affiliate faculty. The program is recruited alongside the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, but it is the only MIDAS track that explicitly covers biomedical and healthcare applications. Applications are due November 23, 2026 through the MIDAS portal (myumi.ch/dgbJV). Advertised salaries range from $70,000 to $86,000 per year.
ClimX is a machine learning challenge to build fast emulators of the NorESM2-MM Earth System Model, judged on how well they reproduce climate extremes rather than mean climate. It is run by the Image and Signal Processing Lab at the University of Valencia, and ESA Phi-lab provides the prizes. Models predict daily global fields at about 1 degree resolution for seven surface variables: mean, maximum and minimum temperature, precipitation, humidity, sea-level pressure and wind speed. Training data covers the historical period from 1850 to 2014 and the SSP1-2.6, SSP3-7.0 and SSP5-8.5 scenarios to 2100. SSP2-4.5 is held out for testing. Rankings use 15 ETCCDI-style extreme indices, scored by region-wise normalized Nash-Sutcliffe efficiency across AR6 land regions. An optional probabilistic track scores uncertainty with CRPS. The main track pays EUR 1,800, 1,000 and 500 to the top three. Finalists must run inference on a single accelerator of 80 GB or less within 24 hours. Submissions close on 15 December 2026, and top teams may be invited to co-author the competition paper.
IES opened From Seedlings to Scale (84.305J) and Transformative Research in Special Education (84.324T) on October 16, 2026. Letters of intent are due October 29 and applications December 11. Here are the award limits, cost-share rules, and phase gates.
Read articleThe Gates Foundation committed at least $1 billion over two years to equitable AI alongside its 10th Goalkeepers Report — 40% education, 40% health, 10% agriculture, 10% digital infrastructure. Five days later, 60 organizations signed a five-year goal to reach 3.4 billion speakers of underrepresented languages. Here is how implementing nonprofits should read both.
Read articleBetween September 2025 and June 2026, ED published five Federal Register notices establishing seven Secretary's Supplemental Priorities — literacy, education choice, returning education to the states, meaningful learning, career pathways, AI in education, and patriotic education. They are not press releases. They are a scoring architecture, and FY2026 competitions are already using two and three at a time.
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