The course will cover fundamental topics in computational genomics and its applications in precision medicine. There will be theoretical lectures followed by practical sessions where students directly apply what they have learned. The programming will be mainly done in R and unix. The course will be beneficial for first year computational biology PhD students, and experimental biologists and medical scientists who want to begin data analysis or are seeking a better understanding of computational genomics and precision medicine. Here is a link to an article for a similar course we organized in 2015.
The lectures and practicals will be held Mondays to Fridays from 9am to 6pm. Lectures are followed by hands-on exercises to apply what candidates have just learnt. There will also be additional scientific lectures showcasing application of computational genomics in current research projects. A computer room with preset workstations will be provided. There will be one afternoon (mid-week) reserved for a social group activity
Application deadline: 01 July 2016
Candidates must apply by filling in the online form . The form will have a section for submitting an abstract on current research interests and projects. Please be prepared to provide an abstract describing your current research projects and interest (max 1000 words). Based on these abstracts, some of the candidates will be selected to give a short presentation.
There will also be questions on programming experience. These questions will help us organize a better course that is adjusted to applicant competencies. So, it is important you fill in those questions truthfully.
A course fee of 250 EUR will be charged to cover printed materials, lunch and snacks during the course. Payment details will be e-mailed to the candidates accepted to the course.
We offer a travel allowance for covering the travel and the accommodation (for double rooms in downtown Berlin) for successful candidates.
Questions and suggestions should be sent to the following firstname.lastname@example.org or email@example.com
We look forward to hearing from you!