The intern is expected to learn about scientific computing applied to the Health
and Life Sciences and apply the newly acquired knowledge to cooperate in the
solution of current problems addressed at the Scientific Computing Service of
Learning will take place in the form of one or two onw-week intensive courses.
Practical skills will be put to practice in real life research problems of interest
to CNB-CSIC research constituency. Sample topics that might be addressed are:
- modeling the pathogenicity determinants of SARS-CoV-2
- modeling mutations associated to antibiotic resistance
- analysing the metabolism of S. maltophilia
- analysis of exome/metagenomic data
These are just examples, the topics actually targeted may differ according to
current needs at the time of the internship.
Skills that may be learned include advanced Statistics, Bioinformatics, Biocomputing
Machine Learning/Artificial Intelligence, Data Analysis, Systems Biology modeling.