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Predoctoral Researcher In Machine Learning For Nanopore Sequencing

CSIC

Jerez de la Frontera

Presencial

EUR 20.000 - 30.000

Jornada completa

Hace 19 días

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Descripción de la vacante

The Center for Biological Research 'Margarita Salas'-CSIC offers a fully funded PhD position focusing on nanopore sequencing and machine learning. Join Dr. Ruth Pérez's team to contribute to innovative research at the intersection of biology and technology. This role offers not only academic development but also hands-on experience in a collaborative environment.

Servicios

Fully funded PhD position with competitive salary
Collaborative work environment
Support for career development
Participation in academic events

Formación

  • Strong foundation in signal processing and computational biology.
  • Experience with machine learning methods is preferred.
  • Advanced English communication skills essential.

Responsabilidades

  • Develop and optimize machine learning models for nanopore sequencing.
  • Apply signal processing techniques for nucleotide detection.
  • Collaborate with researchers for validation.

Conocimientos

Signal processing
Computational biology
Machine learning
Problem-solving
Collaboration
English communication

Educación

M.Sc. in Computer Science
Biomedical Engineering
Bioinformatics
Biology

Herramientas

Python
R
Neural networks

Descripción del empleo

Center for Biological Research "Margarita Salas"-CSIC

Organization/Company: Center for Biological Research "Margarita Salas"-CSIC

Department: Funding & Resources Unit

Research Field: Computer science » Informatics, Biological sciences » Biological engineering

Researcher Profile: First Stage Researcher (R1)

Positions: PhD Positions

Country: Spain

Application Deadline: 31 Jul 2025 - 12:00 (Europe/Madrid)

Type of Contract: Other

Extra Information: PhD funded position

Job Status: Full-time

Offer Starting Date: 1 Sep 2025

Is the job funded through the EU Research Framework Programme? No

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

A predoctoral position is available in Dr. Ruth Pérez's group at the Centro de Investigaciones 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 are seeking a Predoctoral 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.

This is an excellent opportunity for a candidate to pursue a PhD in chemical biology and machine learning for nanopore data analysis.

Key Responsibilities
  1. Assist in developing and optimizing 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 acids.
  4. Work closely with wet-lab researchers to validate computational predictions.
Requirements
  1. Strong foundation in signal processing.
  2. Experience in computational biology and nanopore sequencing data (preferred).
Qualifications
  1. M.Sc. in Computer Science, Biomedical Engineering, Bioinformatics, Biology, or a related field.
  2. Familiarity with the implementation and application of machine learning methods and neural networks deep learning frameworks.
  3. Proficiency in Python, R, and familiarity with scientific computing libraries.
  4. Strong problem-solving skills and ability to work in a collaborative research environment.
  5. Advanced English communication skills.
What We Offer
  1. Fully funded PhD position with a competitive salary.
  2. Opportunity to work on cutting-edge research in nanopore sequencing and machine learning-oriented bioinformatics.
  3. A collaborative and interdisciplinary work environment engaging with wet lab research.
  4. Support for career development and encouragement of active participation in academic events relevant to early-stage researchers.
How to Apply

Please submit your CV and a brief cover letter to ******

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