Goals
This
course has two goals: to train students to conceive, plan and write research projects,
e.g. for a postdoc grant. And to prepare both computational biologists and
experimental biologists to take the lead in the whole project, from designing
experiments and data collection to computational modelling and analysis. The
students will learn to leverage their strengths and combine them with other
fields.
Contents
In
a first 3-day block, after an introduction, the students will propose research
projects which could form the basis for a grant application, first alone and
then in pairs. These projects will be presented informally and receive
feedback.
On
a fourth day, the students will work on improving their project and will
present it to the class. They will also provide a short written description.
There
will be continuous feedback opportunities during the course.
Prerequisites
This course targets PhD students in computational biology and bioinformatics, or in experimental biology with a strong interest in computational biology. Students are expected to be at ease in both basic biology and basic statistics. No direct experience with experimental biology is required.
Venue
13
May 2024: POL 359
14
May 2024: POL 359
15
May 2024: POL 359
24
May 2024: POL 359
