Postdoctoral Researcher in Machine Learning for Biomedicine

vor 2 Wochen


Oberschleißheim, Bayern, Deutschland Helmholtz Zentrum München Vollzeit
Postdoctoral Researcher in Machine Learning for Biomedicine

We are seeking a highly motivated Postdoctoral Researcher to join our team at the Helmholtz Zentrum München. The successful candidate will work on developing and applying decentralized machine learning/AI tools to analyze high-parameter flow cytometry and high-resolution single-cell multi-omics data for diagnostic purposes in a clinical multi-center study.

About the Project

The project focuses on applying AI across medical disciplines, with a particular emphasis on precision medicine. The successful candidate will have the opportunity to work closely with experts in the fields of data and information sciences, immunology, virology, clinical infectious diseases, and ethics.

Responsibilities
  • Develop a decentralized, automated machine learning approach to model clinical single-cell flow and multi-omics data for diagnostics based on deep representation learning and downstream attention-based supervised multiple instance learning.
  • Interpret trained models via attention and prior knowledge.
  • Develop a disease severity classifier for COVID-19 based on high-parameter cytometry data and integrate this with multimodal single-cell omics samples.
  • Provide guidance and supervision of students.
Requirements
  • PhD in computer science, computational biology, or a related field.
  • Excellent skills in AI/machine learning and applications thereof.
  • Strong programming/data engineering skills.
  • Background and/or strong interest in biomedical questions.
  • Excellent analytical, technical, and problem-solving skills.
  • Motivated team player with excellent communication and presentation skills, including experience in communicating across discipline boundaries.
What We Offer

Helmholtz Zentrum München is committed to promoting a culture of diversity and welcomes applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion, or age. Qualified applicants with physical disabilities will be given preference. We offer a competitive salary and benefits package, as well as opportunities for professional development and growth.



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