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DC11 — Computational identification of therapeutic checkpoints and resolution-promoting agents

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DC11 — Computational identification of therapeutic checkpoints and resolution-promoting agents
DC11
WP3
Bioinformatics & AI
Status: Closed
Supervisor
Professor Olaf Wolkenhauer
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Host Institution
University of Rostock
City
Rostock
Country
Germany
What you'll need

About this Project

This project will create a multi-layered, cell-specific map of inflammation resolution in rheumatoid arthritis – the RA-ATLAS. Computational and artificial-intelligence approaches will then be used to identify therapeutic checkpoints, prioritise candidate drugs and predict effective personalised or combination treatments.

Your profile and what you'll gain

Skills required

Background in bioinformatics, computational biology, systems biology, data science, mathematics or a related discipline; programming experience and an interest in biomedical applications.

Skills acquired

Multi-omics integration, network and pathway modelling, machine learning, artificial intelligence, drug-response prediction, systems pharmacology, web-based tool development and integration of experimental and clinical datasets.

Eligibility Criteria

Before applying, candidates should ensure they meet the following eligibility criteria:

  • have a MSc degree in Life Sciences or obtain a MSc degree by October 2026
  • have completed a research internship with relevant expertise
  • have obtained high grades during his/her studies
  • be fluent in English (some countries may also require language certifications – this will be communicated to applicants following shortlisting)
  • applicant must not have resided in the country of the recruiting organisation for more than 12 months preceding the recruitment date. 
Supervisor
Professor Olaf Wolkenhauer
• Closed
Visit Profile
Host Institution
University of Rostock
City
Rostock
Country
Germany

Applications closed

Applications closed on 1 October 2026 and are now under review.

Recruitment details

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    • Closed

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