Predoctoral Researcher In Machine Learning For Nanopore Sequencing

Instituto de Ciencia y Tecnología de Alimentos y Nutrición (ICTAN-CSIC); Madrid; Presencial; EUR 20.000 - 30.000; Jornada completa

Descripción de la vacante

An exciting opportunity for a Predoctoral Researcher is available at a leading research institute in Madrid. The position focuses on enhancing nanopore sequencing data analysis using machine learning techniques, offering a fully funded PhD opportunity with robust support for career development and participation in groundbreaking research.

Servicios

Fully funded PhD position

Competitive salary

Interdisciplinary work environment

Support for career development

Participation in academic events

Formación

• Background in signal processing and computational biology preferred.
• M.Sc. in a relevant field required.
• Familiarity with machine learning methods is important.

Responsabilidades

• Assist in developing machine learning models for nucleotide modification detection.
• Apply signal processing techniques to enhance detection outcomes.
• Collaborate with wet-lab researchers for validation tasks.

Conocimientos

Signal processing

Problem-solving

Collaborative work

Educación

M.Sc. in Computer Science

Biomedical Engineering

Bioinformatics

Biology

Herramientas

Python

R

Descripción del empleo

Predoctoral Researcher In Machine Learning For Nanopore Sequencing

Join to apply for the Predoctoral Researcher In Machine Learning For Nanopore Sequencing role at CSIC

Predoctoral Researcher In Machine Learning For Nanopore Sequencing

Join to apply for the Predoctoral Researcher In Machine Learning For Nanopore Sequencing role at CSIC

Get AI-powered advice on this job and more exclusive features.

• Center for Biological Research "Margarita Salas"-CSICOrganisation / Company : Center for Biological Research "Margarita Salas"-CSICDepartment : Funding & Resources UnitResearch Field : Computer science » Informatics, Biological sciences » Biological engineeringResearcher Profile : First Stage Researcher (R1) Positions PhD PositionsCountry : SpainApplication Deadline : 31 Jul 2025 - 12 : 00 (Europe / Madrid)Type of Contract : OtherExtra Information : PhD funded positionJob Status : Full-timeOffer Starting Date : 1 Sep 2025Is the job funded through the EU Research Framework Programme?
• Center for Biological Research "Margarita Salas"-CSICOrganisation / Company : Center for Biological Research "Margarita Salas"-CSICDepartment : Funding & Resources UnitResearch Field : Computer science » Informatics, Biological sciences » Biological engineeringResearcher Profile : First Stage Researcher (R1) Positions PhD PositionsCountry : SpainApplication Deadline : 31 Jul 2025 - 12 : 00 (Europe / Madrid)Type of Contract : OtherExtra Information : PhD funded positionJob Status : Full-timeOffer Starting Date : 1 Sep 2025Is the job funded through the EU Research Framework Programme?

Horizon Europe - ERCIs the Job related to staff position within a Research Infrastructure?

NoOffer DescriptionA 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 : Assist in developing and optimizing machine learning models for nanopore sequencing basecallers.Apply signal processing techniques to improve nucleotide modification detection.Contribute to an innovative approach combining hybrid and modular nucleic acids.Work closely with wet-lab researchers to validate computational predictions.Requirements : Strong foundation in signal processing.Experience in computational biology and nanopore sequencing data (preferred).Qualifications : M.Sc.

in Computer Science, Biomedical Engineering, Bioinformatics, Biology, or a related field.Familiarity with the implementation and application of machine learning methods and neural networks deep learning frameworks.Proficiency in Python, R, and familiarity with scientific computing libraries.Strong problem-solving skills and ability to work in a collaborative research environment.Advanced English communication skills.What We Offer : Fully funded PhD position with a competitive salary.Opportunity to work on cutting-edge research in nanopore sequencing and machine learning-oriented bioinformatics.A collaborative and interdisciplinary work environment engaging with wet lab research.Support for career development and encourage active participation in academic events relevant to early-stage researchers.How to Apply : Please submit your CV and a brief cover letter to

Applications will be reviewed on a rolling basis Seniority level

• Seniority level Internship

Employment type

• Employment type Contract

Job function

• Job function Science
• Industries Recreational Facilities

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