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Postdoc in Data modelling/Image analysis to investigate the molecular principles of heterosis: how progeny outperforms parents?

Universitat Pompeu Fabra
24 May 2023

Job Information

Organisation/Company
Universitat Pompeu Fabra
Department
Department of Experimental and Health Sciences
Research Field
Biological sciences » Biology
Researcher Profile
First Stage Researcher (R1)
Country
Spain
Application Deadline
Type of Contract
To be defined
Job Status
Full-time
Hours Per Week
37,5
Offer Starting Date
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

We open a postdoc position in the “Live-cell structural biology” group (UPF, Barcelona) to understand the general principles of heterosis: how the progeny of two parental organisms can surpass their progenitors in adaptation to life-threating environments.

Biological context: Heterosis is a phenomenon that happens when the progeny of two parental organisms acquires “superior” performance than the original parents. Although it has a massive impact on the adaptation of species to natural environments, the molecular principles that control heterosis remain unexplored. We will investigate heterosis in eukaryotic microorganisms that cannot control their “body” temperature, and therefore, are vulnerable to thermal fluctuations in the ambient. We aim to understand how species adapt their essential cellular processes to life-threating temperatures and to deliver mechanistic knowledge that aids the prediction of biodiversity loss caused by global warming.

The project: Together with a bioinformatician and two cell biologists, the researcher will exploit the diversity of non-conventional model organisms available in our laboratory and multidisciplinary microscopy. The researcher is expected to lead the development of computational tools that allow us to extract quantitative models from super resolution and particle tracking data and to deliver insight about the fundamental principles that govern heterosis in the context of climate change. The tasks of the candidate will include the implementation of image analysis for single molecule localization microscopy (SMLM) and particle tracking (Bayesian methods + machine learning) and to develop predictive models.

The Lab (www.gallegolab.org): Latest funding allowed us to gather a multidisciplinary team (50% computational + 50% experimentalist) that works in the frontier between evolutionary cell biology and structural biology. The lab is highly international, and it has all the necessary facilities and expertise for the cell biology, live-cell imaging, SMLM and computational modelling. As part of the UPF, we are located at the PRBB, one of the strongest scientific campuses in southern Europe.

Requirements

Research Field
Biological sciences » Biology
Education Level
PhD or equivalent
Research Field
Mathematics » Other
Education Level
PhD or equivalent
Research Field
Computer science » Modelling tools
Education Level
PhD or equivalent
Research Field
Physics » Biophysics
Education Level
PhD or equivalent
Skills/Qualifications

Requirements:
- Strong expertise in bioimage analysis and/or data modelling.
- MSc or PhD degree in mathematics, computer sciences, physics, or related fields.

Languages
ENGLISH
Level
Excellent
Research Field
Biological sciences » Biology
Years of Research Experience
1 - 4

Additional Information

Benefits

The position:
- Starting date no later than December 2023.
- Salary according to the researcher expertise
- 1+1 years position with the option to be extended.

Selection process

If you are interested, please send a short cover letter, your CV and the contact for 2-3 referees to oriol.gallego@upf.edu.

Work Location(s)

Number of offers available
1
Company/Institute
Universitat Pompeu Fabra
Country
Spain
State/Province
Barcelona
City
Barcelona
Postal Code
08003
Street
Dr. Aiguader, 88

Where to apply

E-mail
oriol.gallego@upf.edu

Contact

City
Barcelona
Website
Street
Dr. Aiguader, 88
Postal Code
08003