Computational biology group at Tampere University is recruiting highly motivated researchers (Bachelor or Masters students, PhD students, post-docs) to join the research projects of the group. Work includes development and application of computational methods to improve treatment and diagnostics of cancer. Prior experience from bioscience is not needed, but beneficial.
We have wide range of ongoing projects, where we combine methods in experimental and computational sciences. Frequently applied computational methods include statistical modelling and machine learning including deep learning methods with supercomputers.
Examples of project topics include:
- Development of statistical analysis methods and mixture models for high-throughput data.
- Analysis of 3D structure of the genome by computational integration and analysis of diverse data types.
- Big data analysis for genomics datasets with cloud computing.
- Computational analysis of sequencing data collected from tumors to uncover mechanisms of cancer development and evolution.
As a part of Academy of Finland Center of Excellence in Tumor Genetics research, we offer an internationally leading research environment to develop state-of-the-art computational methods. With us, you can develop and apply your skills in challenging and multidisciplinary problems that will benefit the patients. We are committed to support your career development, including support in Master and PhD level studies.
If you got interested, send your application by email to matti.nykter (at) tuni.fi at latest by Friday 15.2.2019. Include letter of motivation, your CV and transcript of records to the application.
The group’s aim is to uncover the molecular basis of human cancers and to generate new avenues for treatment and diagnostics, see http://compbio.uta.fi or @NykterLab in Twitter.