MSCA Doctoral Researcher for multi-modal AI to identify new immune targets
We have an open vacancy for a 3-year fully-funded PhD researcher position for developing multi-modal AI to define macrophage and immune targets for improved anticancer immunotherapy. The position is offered within the pan-European doctoral training network, Mac4Me (Macrophage Targets for Metastatic Treatment), which will train the next generation researchers in the emerging field of tumour cell-immune host interactions to identify new immunotherapy targets. The network is funded by the European Union's Horizon Europe MSCA Doctoral Network programme. Mac4Me project will use animal-free organ-on-chip systems to recapitulate early liver, bone and brain metastasis during cancer development across the lifespan, such as neuroblastoma, breast and prostate cancer. The multi-modal data from these preclinical models will be integrated with real-world clinical data using AI approaches to identify new immune targets.

More information about theMac4Me project: https://www.van-weerden-lab.com/about

The Mac4Me Doctoral Network provides an innovative, multidisciplinary and cross-sectional approach, with a unique and dedicated research training programme to equip young researchers with scientific knowledge and transferable skills that are essential for today’s research and great demand in both academic and non-academic sectors. Mac4Me brings together multidisciplinary team of 18 partners across multiple countries in Europe (universities, research institutes and industry), and combines expertise in preclinical systems, systems biology, data sciences, AI research, and cancer research. The network will offer the successful candidates an unprecedented learning environment, including a common training program and research visits to both academic and industry partners. The PhD candidates will work in close collaboration with the other doctoral researchers through a diverse educational agenda of online and face-to-face meetings.

Oslo University Hospital is a workplace with great diversity. We believe that this is absolutely crucial to solving the tasks required of us. We therefore want this diversity to be reflected among the applicants for our positions and encourage everyone to apply regardless of who you are and what background you have.
 

Kvalifikasjoner:

• MSc degree in computer science, biostatistics, bioinformatics, biomathematics, or other relevant field
  
• Confident communication skills, interpersonal skills, and good scientific writing skills in English
  
• Experience in various bioinformatics data analysis tools for large-scale omics data analyses
  
• Good programming skills (e.g. Python, R) and ability to work with version control tools (e.g. Git)
  
• Previous knowledge of cancer research and preclinical model systems are considered an advantage

Personlige egenskaper:

• Willingness to learn multidisciplinary skills
• Able to work independently and in teams
• Motivated and solution oriented 
• Multidisciplinary communication skills
• Commitment to meeting deadlines

Vi tilbyr:

• An inspirational and dynamic work environment
  
• Flexible working hours and regular supervision
  
• Access to unique single-cell and spatial datasets
  
• Competitive salary and yearly wage agreement
  
• Membership of pension fund and insurance