Hack yourself and win over! Metabolism, microbiome and the Future of human health- QC- 467Project type: Research
Desired discipline(s): Engineering - biomedical, Engineering, Engineering - computer / electrical, Statistics / Actuarial sciences, Mathematical Sciences
Project Length: 4 to 6 months
Preferred start date: As soon as possible.
Language requirement: Bilingual
Location(s): Montreal, QC, Canada; Brossard, QC, Canada; Canada
No. of positions: 3
Desired education level: Master'sPhD
About the company:
Developer of a virtual chronic disease prevention and management platform intended to help manage and prevent chronic conditions of patients. The company's platform utilizes artificial intelligence to provide real-time, personalized support and counseling, combined with human coaches and connected device technology, enabling patients to make healthier choices and manage their conditions efficiently while having fun.
Work with Worldclass researchers and creators. Make an impact in the life of millions, moreover in yours! We believe our technology will help create a greener world where humans are balanced with their true essence.
Here, we don't work hard, we create hard for a better Future!
Describe the project.:
Who doesn't want to live longer and have as much fun as possible while at it! This very exciting project aims at teaching our algorithms how every meal a sick person eats can either help fight the disease and heal the person or do the opposite.
Partnering with the University Institute of Cardiology and Respirology of Quebec, with internationally renowned researchers and one of the Greatest medical journal in the World, our team of experienced specialists in Deep learning and reinforcement learning from Silicon Valley is bringing modern medicine to the next level.
Your tasks will be to team up with our existing team in the analysis and treatment of data collected from a major clinical study funded by the Ministère de l'Économie et de l'Innovation.
1- Analyze gathered data
2- Pre-Process of data & analysis
3- First draft of the algorithm
4- validation of the first draft of the algorithm
5- Algorithm optimization & training
6- Mapping of algorithm onto real-time system
7- Optimization on the computational platform
8- Validate system
9- Develop hardware
10- System test on developed hardware
The ideal candidate profile is a master or doctorate, with interests / specialties: Deep learning Medical machine learning Reinforcement learning A major asset if the person likes gaming. An intrinsic personal interest in health is important.