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Biomedicine● OpenPostdocPreview

Postdoctoral Fellow in Computational Systems Biology

Develop machine learning and network models to design neuronal cell conversion protocols for regenerative medicine.

Best for:Best for computational biologists and machine learning researchers with a background in gene networks or systems biology.

CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias) · Bilbao, Spain · R2 · Recognised researcher
More professors at CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias)
Computational Systems BiologyMachine LearningGene Regulatory NetworksCellular ReprogrammingBioinformatics
This is a postdoc position — not a PhD studentship.
Deadline
Nov 22, 2026
35 days
Funding
Salaried
€36k–€39k/yr
Start date
flexible
Fixed-term
Location
Bilbao
Spain

Overview

The Computational Biology Group at CIC bioGUNE invites applications for a Postdoctoral Fellow to work on advanced computational approaches for designing neuronal cell conversion protocols. The successful candidate will build computational platforms combining gene network analysis and machine learning foundational models to identify sequential transcription factor induction protocols. These protocols support the engineering of specialized neuronal subtypes for cell transplantation therapies targeting neurological conditions such as Alzheimer's disease, stroke, and epilepsy. Funded through a Canadian federal grant project (NFRF), the role involves close collaboration with international experimental partners who will validate predictions. The appointee will operate in a dynamic, interdisciplinary research environment focused on stem cell research and biomedical modeling.

PostdoctoralComputational BiologyMachine LearningSystems BiologyNeuronal ReprogrammingBioinformaticsTranscriptional Regulation

What you'll do

  • Develop a computational platform to identify hierarchical combinations of cell fate conversion factors.
  • Integrate gene network-based approaches with machine learning foundational models to propose sequential transcription factor induction protocols.
  • Collaborate with international experimental partners to translate computational predictions into clinical practice.
  • Contribute to the theoretical framework for computational modeling in stem cell research, aging, and disease modeling.
  • Participate in multidisciplinary research activities and disseminate findings through scientific publications.

Requirements

Degree required: PhD in computational biology, bioinformatics, biology, computer science, physics or a related discipline

Language: English; working knowledge with excellent communication skills

Instruction: English

Publications: A strong publication record in related fields

Required skills
  • Strong computational skills in at least one programming language such as R or Python
  • Demonstrated publication record in relevant fields
  • Excellent communication skills and working knowledge of English
  • Expertise in computational data analysis or modeling
Nice to have
Prior experience in computational systems biologyKnowledge of transcriptional regulation and cellular conversion factor predictionExperience working in a multidisciplinary research environment
Eligibility
  • Hold a PhD degree in a relevant discipline

Funding & terms

Type
Salaried
Amount
€36k–€39k/yr
Duration
Fixed term
Programme
NFRF Canadian federal grant project
Canadian federal grant

How to apply

Deadline: 2026-11-22

Interested applicants should prepare a detailed curriculum vitae and a cover letter. Submit all required documents via email directly to Prof. Dr. Antonio del Sol before the application deadline.

Documents required
  • CV
  • Cover letter
✉Apply by email

Contact

Antonio del Sol· Professor

adelsol@cicbiogune.es

AD
Prof.
Antonio del Sol
Computational Biology Group
Lab
Computational Biology Group
CIC bioGUNE (Asociación Centro de Investigación Cooperativa en Biociencias)
NFRF Canadian federal grant projectSpain
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