Empleos actuales relacionados con Machine Learning Expert for Nanopore Sequencing Analysis - Madrid, Madrid - beBee Careers


  • Madrid, Madrid, España beBee Careers A tiempo completo

    Job Description">We are seeking a talented researcher to join our team as a Predoctoral Researcher in the ERC Chem2Sense project. The role involves adapting nanopore sequencing basecallers for nucleotide modification detection using incremental learning and anomaly detection techniques.">Key Responsibilities:">">Develop and optimize machine learning models...


  • Madrid, Madrid, España Center for Biological Research "Margarita Salas"-CSIC A tiempo completo

    A predoctoral position is available in Dr. Ruth Pérez's group at the Centro de Investigaciones Fernández. The CIB Margarita Salas, part of the Spanish National Research Council (CSIC), is a leading multidisciplinary research institute in Madrid, Spain. Internationally recognized for its excellence in molecular biology, biomedicine, and biotechnology, it...


  • Madrid, Madrid, España beBeeMachineLearning A tiempo completo

    About the JobWe are seeking a skilled researcher to join our team in developing machine learning models for nanopore sequencing basecallers. This exciting opportunity is part of the ERC Chem2Sense project, where you will work on adapting nanopore sequencing basecallers for nucleotide modification detection using incremental learning and anomaly detection...


  • Madrid, Madrid, España beBeeMachineLearning A tiempo completo

    A predoctoral researcher position is available in a leading research institute in Madrid, Spain. The successful candidate will join the ERC Chem2Sense project and contribute to adapting nanopore sequencing basecallers for nucleotide modification detection using incremental learning and anomaly detection techniques.Job DescriptionThe role focuses on...


  • Madrid, Madrid, España ICTAN-CSIC A tiempo completo

    .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...


  • Madrid, Madrid, España beBee Careers A tiempo completo

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


  • Madrid, Madrid, España Euraxess A tiempo completo

    Center for Biological Research "Margarita Salas"-CSIC Organisation/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...


  • Madrid, Madrid, España Instituto de Ciencia y Tecnología de Alimentos y Nutrición (ICTAN-CSIC) A tiempo completo

    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...


  • Madrid, Madrid, España beBee Careers A tiempo completo

    This Predoctoral Researcher position offers a unique opportunity to contribute to cutting-edge research in the field of chemical biology and machine learning for nanopore data analysis.The researcher will be part of a dynamic team working on developing novel methods for nanopore sequencing data analysis and participating in the validation of computational...


  • Madrid, Madrid, España beBeeMachine A tiempo completo

    We are seeking a skilled professional to join our research team as a P Machine Learning Researcher. This 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...

Machine Learning Expert for Nanopore Sequencing Analysis

hace 3 semanas


Madrid, Madrid, España beBee Careers A tiempo completo
Predoctoral Researcher In Machine Learning For Nanopore Sequencing

Adapting nanopore sequencing basecallers for nucleotide modification detection using incremental learning and anomaly detection techniques is a fascinating task that requires strong foundation in signal processing and experience in computational biology and nanopore sequencing data.

  • The role focuses on developing and optimizing machine learning models for the task.
  • Applying signal processing techniques to improve nucleotide modification detection is crucial for accurate results.

An innovative approach combining hybrid and modular nucleic acids is being pursued in this project, requiring close collaboration with wet-lab researchers to validate computational predictions.

We are seeking a skilled Predoctoral Researcher to join our team and contribute to this exciting project.

Key Responsibilities:

  • Develop and optimize machine learning models for adapting nanopore sequencing basecallers.
  • Apply signal processing techniques to improve nucleotide modification detection.
  • Collaborate 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.

Benefits:

  • A 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 encouragement of active participation in academic events relevant to early-stage researchers.