Sep
29
to Oct 23

Insight Data Fellows Program

Insight is now accepting applications for the January 2018 fellowships in Data Science, Health Data Science, Data Engineering, and Artificial Intelligence.

900+ Insight alumni are now data scientists and data engineers at Facebook, LinkedIn, The New York Times, Apple, Airbnb, Netflix, Memorial Sloan Kettering Cancer Center, Github, Slack, Seven Bridges Genomics, Twitter, Bloomberg, NBC, Pinterest, Microsoft, and 250+ other top companies.

Insight Fellows Programs:

- 7 week, full-time training fellowship
- Mentorship from leading industry data scientists, data engineers & AI specialists
- Join an active community of Insight alumni
- Self-directed, project-based learning followed by interviews at top companies
- Tuition-free with need-based scholarships available to help cover living costs

Application Deadline: October 23rd

Insight awards four distinct Fellowships - learn more & apply:

Data Science
- For PhDs & Postdocs (graduating by May 2018)
- Locations: Silicon Valley, NYC, Boston, Seattle & Remote
- Apply: http://insightdatascience.com

Health Data Science
- For PhDs, Postdocs & MDs (graduating by May 2018)
- Locations: Silicon Valley & Boston
- Apply: http://insighthealthdata.com

Data Engineering
- For Bachelors, Masters or PhDs (graduating by May 2018) & professional engineers
- Locations: Silicon Valley & NYC
- Apply: http://insightdataengineering.com

Artificial Intelligence
- For Bachelors, Masters or PhDs (graduating by May 2018) & professional engineers
- Locations: Silicon Valley & NYC
- Apply: http://insightdata.ai

Not ready to apply? Sign up for our notification list:
http://insightdatascience.com/notify

Questions? Email us at info@insightdatascience.com

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Sep
13
to Nov 8

Globalink Research Award

New Globalink opportunity : funding for collaborative international research

Mitacs will be accepting applications for the Globalink Research Award from September 13 to November 8, 2017, and we hope you will consider applying.

What is the Globalink Research Award?

The Globalink Research Award is a competitive international research opportunity for student travel either to or from Canada. Projects last 12–24 weeks and are open to senior undergraduate and graduate students. Funding starts at $6,000.

Students in Canada can do research in:

Brazil
China
France
India
Israel
Korea
Mexico
Tunisia

Graduate students can do research in Canada from:

France


How to apply:

Identify all three project participants: student, supervisor in Canada, supervisor abroad. Submit your application form, research proposal, and supplementary documents to apply@mitacs.ca before the deadline. Full details are on our website, under the “How to Apply” tab.

Why apply?

Flexibility: identify the participants you want to work with, the work you want to do together, and at what time of year
Funding: minimum $6,000 award supports student travel, living expenses, and research costs
Connections: build and strengthen international research networks
To learn more, visit the Globalink Research Award web page or contact Mitacs International at international@mitacs.ca.

Mitacs would like to thank the Government of Canada for their support of the Globalink Research Award. In addition, we are pleased to work with international partners to support this award including the China Scholarship Council, France’s Inria, Campus France, the National Research Foundation of Korea, and Tunisia’s Ministry of Higher Education and Scientific Research and Mission Universitaire de Tunisie en Amérique du Nord.

See https://www.mitacs.ca/en/programs/globalink/globalink-research-award?utm_source=call&utm_medium=emai for more information.   

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Jun
26
1:00 AM01:00

Insight Fellowship Programs: (Various)

900+ Insight Fellows are now data scientists and data engineers at Facebook, Tesla, The New York Times, Apple, Amazon, Wayfair, LinkedIn, Airbnb, Netflix, Slack, Merck, Biogen, 23andMe, Twitter, Bloomberg, Viacom, Blue Apron, NBC, and 200+ other top companies.

 

Starting September 5th (deadline June 26th):
Data Science in Boston, New York, Silicon Valley and remote
Health Data Science in Boston and Silicon Valley
Data Engineering in New York and Silicon Valley
Artificial Intelligence in Silicon Valley

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