Q1) What about computational resources and timelines?A1) Funding is available upon request for cloud computing resources.Timeline: 2 years, the model to be ready after a year and a half and results to be ready after that for a discussion.Q2) Clarify total number of people involved, their roles and experienceA2) Postdoc, PI and 9 data scientists. Their background includes ML, Data Analysis, Ethics, and back-end development (for the dashboard).Q3) Depending on outcome, what specific skills are needed on the technical team? (eg: software engineering)A3) ML, Data Analysis, Ethics and back-end development (for the dashboard)Q4) How will we communicate with the whole team and how often? Do they require a timeline?A4) Once a month with a single point of contact of the group. PI can manage more meetings if requested.Q5) Who is the targeted audience? What is their background?The Post-Doc will read the proposal with a background on just health, and without ML or DL knowledge.
Q1) What about computational resources and timelines? A1) Funding is available upon request for cloud computing resources. Timeline: 2 years, the model to be ready after a year and a half and results to be ready after that for a discussion. Q2) Clarify total number of people involved, their roles and experience A2) Postdoc, PI and 9 data scientists. Their background includes ML, Data Analysis, Ethics, and back-end development (for the dashboard). Q3) Depending on outcome, what specific skills are needed on the technical team? (eg: software engineering) A3) ML, Data Analysis, Ethics and back-end development (for the dashboard) Q4) How will we communicate with the whole team and how often? Do they require a timeline? A4) Once a month with a single point of contact of the group. PI can manage more meetings if requested. Q5) Who is the targeted audience? What is their background? The Post-Doc will read the proposal with a background on just health, and without ML or DL knowledge.