The NBIC PhD School: Advanced courses for bioinformaticians and Life Scientists
In a fast evolving field like bioinformatics, education and training is essential to stay on top of the latest developments. The NBIC PhD School offers a comprehensive programme of advanced courses on a variety of topics and technologies and allow the creation of a personalised education programme that specifically fits your research and interests. All courses have been developed in close collaboration with the bioinformatics community in the Netherlands and are taught by leading experts in the field.
The programme is accessible for bioinformatics and life sciences PhD students and researchers worldwide. To broaden the international scope of the NBIC PhD School, NBIC is closely collaborating with the e.g. Swiss Institute of Bioinformatics (SIB). NBIC plans to set up this kind of mutual exchange possibilities with other institutes as well.
Three tracks: Technology, Application and Life Sciences
The NBIC PhD school programme is set up along three tracks: a Technology track (T), an Application track (A) and a Life Sciences track (LS). The Technology track focuses on principles, theoretical background and application of technologies. In the Application track, the emphasis is on the application of these technologies in bioinformatics. Courses in the life sciences track are aimed at researchers in the Life Sciences field who apply bioinformatics tools in their work. Each course in the T or A track is worth 3 EC and consists of one week of lectures and hands-on sessions. Courses also contain preparatory literature and a final assignment at the end. T and A courses will be repeated every two years. Life Sciences courses adhere to a less strict format, ranging from one day to several days and are always co-organized with other parties. All courses are taught by scientists active in that specific area of bioinformatics. The table below provides an overview of the courses in each track. More detailed information about the courses can be found in the Course Portfolio and the pages below.
PhD-school: overview of courses and expected courses
|Technology Track (T)||Year|
|Pattern Recognition||2009, 2011, 2013|
|Managing Life Science Information||2009, 2011, 2013|
|Optimisation Techniques in Bioinformatics and Systems Biology||2010, 2013|
|Application Track (A)||Year|
|Algorithms for Biological Networks||2010, 2012|
|Comparative Genomics: from evolution to function||2011, 2013|
|Structural Bioinformatics||2011, 2013|
|Life Sciences Track (LS)||Year|
|Next generation Sequence Data Analysis||2009 - 2013|
|RNA-seq Data Analysis||2011, 2012, 2013|
|Genomic Resequencing and Variant Calling||2012, 2013|
|de novo Assembly from NGS Data||2013|
|Metagenomics Applications and Data Analysis||2013|