Call for Applications: Machine Learning Summer School in Healthcare and Biosciences


 

Deadline: 15 March 2020

Describtion

Bumblekite is four’s annual 10-day long machine learning summer school in biosciences and healthcare. The goal of the school is to bridge the skills gap in this interdisciplinary area — between and among people with engineering and data science skills, those with expertise in biomedical sciences and healthcare practice, as well as anyone else who would, with their creative ideas and enthusiastic work, like to participate in shaping the future of healthcare systems across the globe.

Participants of the summer school will gain both technical and domain knowledge, as well as skills in writing, teaching, project management and strategy development — equally important operational skills which we believe are crucial to making positive contributions in this field.

During the summer school, the skills will be obtained through technical lectures by leaders in a given area, skill-oriented tutorials, personalized project development, project-based group work, debates, talks, and Q&A sessions.
 

Eligibilities

You are…

  1. interested in learning about applications of machine learning in healthcare and biosciences,
  2. motivated to acquire the skills necessary to translate theoretical knowledge into measurable, real-life outcomes,
  3. a collaborative and creative challenge seeker and problem solver.

Benefits

In line with Bumblekite’s commitment to equal opportunity and inclusion, they refuse to let financial considerations be a deterrent for potential participants. This is why they offer a limited number of:

  • full scholarships that cover the entire cost of participation and include travel and accommodation reimbursement as well as a registration-fee waiver,
  • partial scholarships that cover a single participation-cost element or a combination thereof (travel, accommodation expenditures, registration fee).

The scholarships are both need-based as well as merit-based.

Application

In order to qualify for a scholarship, the applicant should fill out both the full application, as well as the designated scholarship supplement and provide a reference to speak on behalf of the professional or academic experience they refer to in their application.

Applicants who wish to be considered should also attach an explanation of why they are applying for a scholarship – this will be used as a need assessment that will factor heavily in the decision process, in order to remove the financial barrier of participation for highly qualified applicants, who otherwise wouldn’t be able to participate for financial reasons.

For more information WEBSITE