Center for Biological Research Margarita Salas-CSIC Organisation/Company: Center for Biological Research Margarita Salas-CSIC Department: Funding & Resources Unit Research Field: Computer science » Programming, Computer science » Informatics, Engineering » Computer engineering, Biological sciences » Biological engineering Researcher Profile: Recognised Researcher (R2), Established Researcher (R3) Positions: Postdoc Positions Country: Spain Application Deadline: 31 May :00 (Europe/Madrid) Type of Contract: Temporary Job Status: Full-time Offer Starting Date: 1 Jul 2025 Is the job funded through the EU Research Framework Programme?
Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure?
No Offer Description A postdoctoral position is available in Dr. Ruth Pérez's group at the CIB Margarita Salas, part of the Spanish National Research Council (CSIC), a leading multidisciplinary research institute in Madrid, Spain.
Internationally recognized for its excellence in molecular biology, biomedicine, and biotechnology, it fosters cutting-edge science and innovation at the interface of biology and health.
We seek a Postdoctoral Machine Learning Researcher to join the ERC Chem2Sense project.
The role focuses on adapting nanopore sequencing basecallers for nucleotide modification detection using incremental learning and anomaly detection techniques.
Key Responsibilities: 1.
Develop, implement, and optimize machine learning models for nanopore sequencing basecallers.
2.
Apply signal processing techniques to improve nucleotide modification detection.
3.
Contribute to an innovative approach combining hybrid and modular nucleic acid derivatives.
4.
Collaborate with wet lab researchers to validate computational predictions.
5.
Contribute to the writing of scientific publications and reports.
Requirements: 1.
Strong background in signal processing.
2.
Extensive knowledge in the development of robust, scalable machine-learning models for research applications.
3.
Experience in computational biology and nanopore sequencing data (preferred).
Qualifications: 1.
PhD in Computer Science, Engineering, Bioinformatics, Computational Biology, or a related field.
2.
Hands-on experience with deep learning frameworks (e.G., TensorFlow, PyTorch).
3.
Proficiency in Python, R, and familiarity with scientific computing libraries.
4.
High-level English communication skills.
5.
Strong problem-solving skills and ability to work in a collaborative research environment.
What We Offer: 1.
Competitive salary according to individual qualifications/experience.
2.
Opportunity to work on cutting-edge research in nanopore sequencing.
3.
A collaborative and interdisciplinary work environment.
4.
Mentorship leading to potential professional opportunities.
5.
Prospects for building a professional network and participating in academic events.
How to Apply: Please submit your CV and a brief cover letter to ******
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