Postdoctoral Fellow in Computational Systems Biology at CIC bioGUNE

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16 Jan 2024
Job Information
Organisation/Company
Asociación Centro de Investigación Cooperativa en Biociencias – CIC bioGUNE
Department
Functional Genomics
Research Field
Biological sciences » Biology
Computer science » Modelling tools
Researcher Profile
Recognised Researcher (R2)
Established Researcher (R3)
Country
Spain
Application Deadline
1 Mar 2024 – 23:59 (Europe/Madrid)
Type of Contract
Temporary
Job Status
Full-time
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

The Computational Biology Group at CIC bioGUNE seeks a highly skilled and motivated postdoctoral researcher to work on an exciting project that aims at the development of computational approaches for designing neuronal cell conversion protocols. In particular, the selected candidate will employ multiOMICs data for developing computational models of gene regulation to predict conversion factors that induce desired cell subtypes with high efficiency and fidelity. The effectiveness of the conversion will be demonstrated in disease models of Alzheimer’s Disease, Stroke and Epilepsy. The project is carried out in close collaboration with an international consortium of renowned experts in neurological disorders, who will also conduct the experimental validation of the computational predictions.

The Computational Biology Group aims at establishing a solid infrastructure to develop theoretical frameworks for computational modeling of biomedical problems, especially in the area of network biology. The group closely collaborates with leading national and international experimental labs with a particular interest in stem cell research and regenerative medicine.

 

Essential skills and qualities:

  • Ph.D. degree in computational biology, bioinformatics, biology, computer science, physics or a related discipline
  • Strong computational skills in at least one programming language (e.g. R or Python)
  • A strong publication record in related fields
  • Excellent communication and working knowledge in English

 

Ideal skills:

  • Prior experience in computational systems biology
  • Prior knowledge about transcriptional regulation and the prediction of cellular conversion factors
  • Experience in working in a multi-disciplinary research environment

 

We offer:

  • Opportunity to do highly interdisciplinary research to solve complex biomedical problems within a dynamic research institution (CIC bioGUNE) and in collaboration with internationally recognized partner
  • An exciting international environment
  • Long-term perspective with a contract extendable up to 6 years

 

Applications should contain the following documents:

  • A detailed curriculum vitae
  • A cover letter

 

Applications should be sent before 01.03.2024 to:

 

Prof. Dr. Antonio del Sol

E-mail: [email protected]

Requirements
Skills/Qualifications

  • Ph.D. degree in computational biology, bioinformatics, biology, computer science, physics or a related discipline
  • Strong computational skills in at least one programming language (e.g. R or Python)
  • A strong publication record in related fields
  • Excellent communication and working knowledge in English

Languages
ENGLISH
Level
Good

Research Field
Biological sciences

Additional Information
Benefits

  • Opportunity to do highly interdisciplinary research to solve complex biomedical problems within a dynamic research institution (CIC bioGUNE) and in collaboration with internationally recognized partner
  • An exciting international environment
  • Long-term perspective with a contract extendable up to 6 years

Work Location(s)

Number of offers available
1
Company/Institute
CIC bioGUNE
Country
Spain
State/Province
Bizkaia
City
Derio
Postal Code
48160
Geofield

Where to apply

E-mail
[email protected]

Contact

City
Derio
Website
http://www.cicbiogune.es
Street
Ed. 801 A PARQUE TECNOLÓGICO DE BIZKAIA
Postal Code
48160

STATUS: EXPIRED

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