PhD Candidate in Deep Learning for Cancer Cell Dynamics

SciLifeLab Group; Stockholms kommun; On-site; SEK 290,160 - 334,800; Full time

Job summary

SciLifeLab Group in Stockholm is seeking a Doctoral student in deep learning for biological systems. The successful candidate will contribute to modeling cell-cell interactions to support cancer research and precision medicine. Key qualifications include a master's degree in a related field and a strong background in machine learning, mathematics, and modeling. Candidates should possess research experience and an interest in biological systems. Employment duration is a maximum of four years, under postgraduate education terms.

Qualifications

• Strong background in machine learning, mathematics, and modeling.
• Interest or prior experience with biological systems.
• Proven ability to conduct research and communicate findings.

Responsibilities

• Join a project to model cell-cell interactions to disrupt cancer-promoting equilibria.
• Develop in silico and in vitro models for digital twins of interactions.
• Contribute to research on advancing precision medicine.

Skills

Machine learning

Mathematics

Modeling

Deep learning models

Biological systems

Education

Master's degree in Electrical Engineering or closely related field

120 higher education credits at second-cycle level

Job description

SciLifeLab Group in Stockholm is seeking a Doctoral student in deep learning for biological systems. The successful candidate will contribute to modeling cell-cell interactions to support cancer research and precision medicine. Key qualifications include a master's degree in a related field and a strong background in machine learning, mathematics, and modeling. Candidates should possess research experience and an interest in biological systems. Employment duration is a maximum of four years, under postgraduate education terms.