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Mapping tumour determinants relevant for boosting an immunotherapy response
The project involves analysis of datasets on tumor determinants, which can be recognized by the immune system and subsequently used in nanomedicine. This work will offer an intensive training in data analysis and an in depth understanding of biomedical data integration for addressing medical needs.
Keywords: Data science, Data analysis, Nanomedicine, Nanotechnology, Personalised medicine, Biomedicine, Machine learning, Nanoparticles, Immunotherapy, Tumor biology, Cancer research, programming, data visualisation
The Empa group 'Multi-omics for innovations in healthcare materials' develops new concepts for innovative design of materials with applications in healthcare and nanomedicine. For this, we rely on the integration and analysis of large-scale biomedical datasets, employment of advanced data analytics and modeling of material properties. The group is based within the highly interdisciplinary Particles-biology interactions lab at Empa, St. Gallen.
We are offering the following Master thesis project:
"Mapping tumour determinants relevant for boosting an immunotherapy response".
The project is a collaboration with the St. Gallen Hospital (Kantonsspital St.Gallen) and it aims to map and explore tumor associated antigens, which can be used for nanoparticle functionalization. The project involves analysis of publicly available and newly generated datasets on tumor determinants, which can be recognized by the immune system and subsequently used in the design of nanoparticle-bases vaccines. This work will offer an intensive training in data analysis, implementation of machine learning models and an in depth understanding of biomedical data integration for addressing medical needs. The student will be involved in the study design, data analysis, results interpretation, data visualization and writing of scientific manuscript.
We are looking for a highly motivated person with a programming experience and an excellent academic track record. Previous experience with the analysis of biological and biomedical data is beneficial, but not mandatory. The thesis work will be based at Empa, St Gallen and commuting and accommodation costs during the project duration will be covered. The project offers a strong skill set for data science work and biomedical research.
The Empa group 'Multi-omics for innovations in healthcare materials' develops new concepts for innovative design of materials with applications in healthcare and nanomedicine. For this, we rely on the integration and analysis of large-scale biomedical datasets, employment of advanced data analytics and modeling of material properties. The group is based within the highly interdisciplinary Particles-biology interactions lab at Empa, St. Gallen. We are offering the following Master thesis project: "Mapping tumour determinants relevant for boosting an immunotherapy response". The project is a collaboration with the St. Gallen Hospital (Kantonsspital St.Gallen) and it aims to map and explore tumor associated antigens, which can be used for nanoparticle functionalization. The project involves analysis of publicly available and newly generated datasets on tumor determinants, which can be recognized by the immune system and subsequently used in the design of nanoparticle-bases vaccines. This work will offer an intensive training in data analysis, implementation of machine learning models and an in depth understanding of biomedical data integration for addressing medical needs. The student will be involved in the study design, data analysis, results interpretation, data visualization and writing of scientific manuscript. We are looking for a highly motivated person with a programming experience and an excellent academic track record. Previous experience with the analysis of biological and biomedical data is beneficial, but not mandatory. The thesis work will be based at Empa, St Gallen and commuting and accommodation costs during the project duration will be covered. The project offers a strong skill set for data science work and biomedical research.
- Intergration of large-scale biomedical datasets.
- Comprehensive data analysis and generation of computational models.
- Clear summary and visualisation of results.
- Novel insights into tumour determinants that modulate immunotherapy response.
- Novel concepts for design of nanoparticles that can boost immune response.
- Manuscript writing.
- Intergration of large-scale biomedical datasets. - Comprehensive data analysis and generation of computational models. - Clear summary and visualisation of results. - Novel insights into tumour determinants that modulate immunotherapy response. - Novel concepts for design of nanoparticles that can boost immune response. - Manuscript writing.
Dr Marija Buljan
marija.buljan@empa.ch
The start date is planned for 1 June 2020, but this can be adjusted. Interested applicants should send an email to Dr Marija Buljan and include their CV as well as a short application note. Please also get in touch if you wish more information on this. Interviews will be organized via Skype.
Dr Marija Buljan marija.buljan@empa.ch
The start date is planned for 1 June 2020, but this can be adjusted. Interested applicants should send an email to Dr Marija Buljan and include their CV as well as a short application note. Please also get in touch if you wish more information on this. Interviews will be organized via Skype.