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Computational biology project on treatment resistance in Multiple Myeloma
Master thesis project in Computational Biology: "Understanding disease development and treatment resistance in Multiple Myeloma".
The project aims to employ data science in order to understand cellular mechanisms of resistance to Multiple Myeloma treatment as well as identify new therapeutic targets
Keywords: computational biology, data science, cancer research, bioinformatics, nanomedicine, biomedicine, multiple myeloma, statistics, programming, systems biology, machine learning, modelling, molecular biology, signaling, cancer, tumour biology, data analysis, data analytics
Empa group Multi-omics for healthcare materials is offering the following Master thesis project in Computational Biology:
"Understanding disease development and treatment resistance in Multiple Myeloma".
The project is a collaboration with the St. Gallen Hospital (Kantonsspital St.Gallen) and it aims to employ data science in order to understand cellular mechanisms of resistance to Multiple Myeloma treatment as well as identify new therapeutic targets. If successful, the study aims to assist design of therapeutic nanoparticles based on the biology of disease.
This work will offer an intensive training in data analysis, familiarity with genomic, proteomic and CRISPR/Cas9 datasets, and an in depth understanding of biomedical data integration for addressing medical needs. 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 start date is planned for 1 March 2020, but this can be adjusted. Interested applicants should send an email to Dr Marija Buljan: marija.buljan@empa.ch 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.
Empa group Multi-omics for healthcare materials is offering the following Master thesis project in Computational Biology: "Understanding disease development and treatment resistance in Multiple Myeloma". The project is a collaboration with the St. Gallen Hospital (Kantonsspital St.Gallen) and it aims to employ data science in order to understand cellular mechanisms of resistance to Multiple Myeloma treatment as well as identify new therapeutic targets. If successful, the study aims to assist design of therapeutic nanoparticles based on the biology of disease. This work will offer an intensive training in data analysis, familiarity with genomic, proteomic and CRISPR/Cas9 datasets, and an in depth understanding of biomedical data integration for addressing medical needs. 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 start date is planned for 1 March 2020, but this can be adjusted. Interested applicants should send an email to Dr Marija Buljan: marija.buljan@empa.ch 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.
Understand mechanisms of treatment resistance in Multiple Myeloma and identification of novel therapeutic opportunities.
Understand mechanisms of treatment resistance in Multiple Myeloma and identification of novel therapeutic opportunities.