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

  • Machine Learning Researcher for Nanopore Sequencing

    hace 4 días

    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...

  • AI-Powered Researcher: Machine Learning for Nanopore Sequencing

    hace 14 horas

    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...

  • Nanopore Sequencing Researcher

    hace 4 días

    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...

  • Machine Learning Expert for Nanopore Sequencing Analysis

    hace 2 semanas

    Madrid, Madrid, España beBee Careers A tiempo completo

    Predoctoral Researcher In Machine Learning For Nanopore SequencingAdapting 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...

  • Researcher in Chemical Biology and Machine Learning for Nanopore Sequencing

    hace 2 semanas

    Madrid, Madrid, España beBee Careers A tiempo completo

    We are seeking a highly skilled and motivated researcher to join our team as a Predoctoral Researcher in Machine Learning for Nanopore Sequencing.This is an exciting opportunity to work on cutting-edge research in chemical biology and machine learning-oriented bioinformatics, with a focus on adapting nanopore sequencing basecallers for nucleotide...

  • Predoctoral Researcher In Machine Learning For Nanopore Sequencing

    hace 2 semanas

    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...

  • Predoctoral Researcher In Machine Learning For Nanopore Sequencing

    hace 2 semanas

    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...

  • Postdoctoral Machine Learning Researcher For Nanopore Sequencing

    hace 4 semanas

    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 » Programming, Computer science » Informatics, Engineering » Computer engineering, Biological sciences » Biological engineering Researcher Profile:Recognised...

  • Predoctoral researcher in Machine Learning for Nanopore Sequencing

    hace 4 semanas

    Madrid, Madrid, España Euraxess 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...

  • Machine Learning Scientist for Nanopore Sequencing Innovation

    hace 2 semanas

    Madrid, Madrid, España beBee Careers A tiempo completo

    A PhD position is available in a research group at the Spanish National Research Council (CSIC).The role focuses on adapting nanopore sequencing basecallers for nucleotide modification detection using incremental learning and anomaly detection techniques.Key Responsibilities :Develop and optimize machine learning models for nanopore sequencing...

Machine Learning Researcher for Nanopore Sequencing

hace 3 semanas

Madrid, Madrid, España beBee Careers A tiempo completo

A predoctoral position is available in a research group at the CIB Margarita Salas, a leading multidisciplinary research institute in Spain.

We are seeking a Predoctoral Researcher to join an ERC project focused on adapting nanopore sequencing basecallers for nucleotide modification detection using incremental learning and anomaly detection techniques.

Key Responsibilities:
  1. Develop 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 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.
  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.
Beyond the Role:

The selected candidate will have the opportunity to collaborate with a talented team of researchers and scientists.