The Bojar group is located at the Molecular and Cellular Biology Division of the Department of Chemistry and Molecular Biology as well as the Wallenberg Centre for Molecular and Translational Medicine of the University of Gothenburg. We are a rapidly growing and multidisciplinary research group that focuses on the study of glycans and their role in biology using both experimental as well as computational techniques.
Our research focuses on the development and application of novel methods in the areas of glycan-focused machine learning and bioinformatics. Broad areas of interest concern the extraction of functional information from glycan sequences and the prediction of glycan repertoires of biological systems. We further engage in the development and implementation of methods from synthetic biology / genetic engineering to perturb the glycan repertoires of biological systems and assess the performance of glycan biosynthesis under different environmental conditions as well as the impact of glycans on signaling pathways. Insights gained from these endeavors will further our understanding of molecular biology and have broad biomedical implications.
During postdoctoral training, you will design, develop, and apply new algorithms in the broader area of glycan-focused machine learning. Among others, these will be used to generally enhance the predictive capabilities of machine learning or deep learning models applied to glycobiology and lead to more mechanistic insights. Further applications will include various sequence-to-function models illuminating the role of glycans in a range of biological contexts. Communication with more experimentally focused members of the team will be a crucial component of this project. We encourage you to gain experience in the co-supervision of Ph.D. students and M.Sc. thesis students and you may also attend international conferences and meetings if possible. You will be directly supervised by Dr. Daniel Bojar and become a part of the Department of Chemistry and Molecular Biology as well as the Wallenberg Centre for Molecular and Translational Medicine of the University of Gothenburg.
Lundstrøm, J., Korhonen, E., Lisacek, F., and Bojar, D. LectinOracle – A Generalizable Deep Learning Model for Lectin-Glycan Binding Prediction. bioRxiv, doi:10.1101/2021.08.30.458147.
Thomès, L., Burkholz, R., and Bojar, D. Glycowork: A Python package for glycan data science and machine learning. Glycobiology, cwab067.
Burkholz, R., Quackenbush, J., and Bojar, D. Using Graph Convolutional Neural Networks to Learn a Representation for Glycans. Cell Rep, 35:109251.
The scholarship covers a period of 24 months.
Preliminary start date: 2021-01-01 or as soon as possible.
Daniel Bojar, +46722099822, email@example.com
- To be eligible for a post-doc scholarship at the Department of Chemistry and Department the recipient must hold a PhD degree within a relevant field. The applicant must not have been employed at University of Gothenburg in the past two years.
- Please specify experiences, knowledge or interests necessary for taking part as a postdoc in this project. Remember that a scholarship is not an employment and the qualifications necessary might differ from what you could ask for from an employee.
Written application, including reference number, is to be sent via e-mail to the supervisor and must include the following:
- Personal letter stating your skillset and the reasons why the topic suits you
Application deadline: 2021-12-01
Information regarding scholarships
- Scholarships do not give rise to sickness benefits, compensation from the Social Insurance Office Agency or retirement pension.
- The scholarship sum is paid out at two occasions
- Scholarships are tax-exempt
- A scholarship holder cannot be employed after the scholarship period due to tax reasons.