Data-analysis for DNA-protein interactions and drug development

Implement algorithms to analyse and understand DNA–protein interactions. Depending on student preference and background, the project can focus on one or more of the following: image processing of fluorescence microscopy data, AI/machine learning for pattern recognition, single particle tracking, statistical analysis of protein trajectories, and intuitive data visualization.

• Implement, adapt, and test algorithms (e.g. for image preprocessing, spot detection, single particle tracking, or classification using machine learning) in a suitable programming environment like Python.

• Documentation and communication to different stakeholders. Help collect feedback to improve user experience.
  
  

• Gain an overview of the biological question and relevant computational approaches by studying selected literature and exploring example datasets and tools.

• Motivation to work in a start-up environment and to develop or apply computational methods; ability to work carefully and independently, open-minded mindset.

• Enrolled in a relevant Master’s programme (e.g. Physics, Life Science & Technology, Molecular Biology, Computer Science, Mathematics, Bioinformatics, or related field) with an interest in quantitative approaches to biological problems.

How to Apply

Please submit the following materials:

• CV
  
  

• Cover letter explaining your motivation and relevant experience
  
  

• Availability (start date and desired duration)
  
  

Applications should be sent to:
Loek Andriessen – l.andriessen@1na.nl

Applications will be reviewed on a rolling basis.