The SBCBLab has a solid history of research in Bioinformatics, with
several publications in the area. The group has vast knowledge in
Artificial Intelligence, Machine Learning, Metaheuristics, and Massively
Parallel Processing.
An essential aspect of the analysis made by our
group is the potential integration of data of different natures. In this
sense, for example, expression data can be applied in System Biology
protocols and machine learning algorithms. We have experience dealing
with the analysis and manipulation of data from the different sources
listed above in a single integrative protocol that has been increasingly
sought after and demanded in Brazil and worldwide.
We are also working in protein structure prediction, molecular docking,
molecular dynamic simulation, analysis of transcriptomic data, systems
biology, including analysis of co-expression networks, regulatory networks,
and protein-protein interaction post-translational gene regulation
(alternative splicing, miRNAs, and lncRNAs).
We are Hiring!
SBCBLab is looking for Master and Ph.D. Candidates in Computer Science
or Cell and Molecular Biology.
Candidates should be highly motivated and have strong academic
backgrounds in Computer Science or Bioinformatics and excellent writing
skills including documentation skills to maintain software and support
documentation. A high degree of energy, accuracy, and attention to
detail, and a passion for science. The students will participate in
multidisciplinary studies focusing on the design of novel methods and
computational strategies for Bioinformatics problems.
Interested students are encouraged to contact Prof. Dorn
(mdorn@inf.ufrgs.br)
with a short introduction of her/his academic
backgrounds, research interests, and career goal. Students wishing
to complete a Masters or Ph.D. degree in Computer Science are
enrolled in the
Postgraduate Program in Computing (PPGC)
. Students who want to complete a Master or Ph.D. in Molecular
and Cell Biology are registered in the
Postgraduate Program in Molecular and Cell Biology (PPGBCM)
. The candidate may hold a scholarship or may
receive financial support from some other source.
