Doctoral candidate (PhD) – Computational Biomedicine / Machine Learning / Spatial Omics (m/f/d)

In a dynamic and multidisciplinary environment, the candidate will work on the development of novel methods for analysis of state-of-the-art spatially resolved data.The candidate will explore the landscape of explainable machine-learning and optimization approaches and create novel approaches that can be applied in a clinical setting. The work will be motivated by problems arising from a range of translational applications, initially focusing on cancer research, and will be directly supported by data generated within the center.

• Either a degree in computer science, engineering sciences, physics or mathematics, or a degree in biological sciences or medicine with previous experience in computational work
• Motivated to work on challenging interdisciplinary project with biomedical relevance
• Strong interest in learning and/ or knowledge of histo(patho)logy and cancer biology
• Experience programming in R or Python
• Good English communication skills

• Possibility of doctorate
• Possibility to publish scientifically is offered and supported
• Regular team meetings
• Interdisciplinary cooperation with local and international research networks
• Access to high performance computing infrastructure
• Collectively agreed remuneration, attractive company pension scheme (VBL)
• 30 days vacation
• Sustainable travel: job ticket
• Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care
• Wide range of health, prevention and sports offers

For further information please contact Jovan Tanevski via e-mail.

Interested?

Applications will be accepted until 08.07.2024 via e-mail. Please submit a letter of motivation tailored to the position (1 page), CV and a list of references with contact details.