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MAMax Planck Institute of Biochemistry

PhD student(m/w/x)

München
Full-timeApprenticeshipOn-site
AI/ML
Data Science
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Developing clinical foundation models integrating diverse data types for real-world workflows. Advanced degree in a relevant STEM field and ML enthusiasm required. International secondments, networking, and conference attendance.

Requirements

  • Bachelor's and Master's degrees (or equivalent) with 300 ECTS credits
  • Background in data science, computer science, physics, mathematics, biology, medicine, or engineering disciplines
  • Enthusiasm for developing new machine learning methods for life sciences
  • Excellent interdisciplinary communication skills
  • Excellent written and oral command of English language
  • Previous research experience in machine learning and computational biology advantageous
  • Not already in possession of a doctoral degree
  • Enrollment in a doctoral programme in EU Member State or Horizon Europe associated country
  • Full-time and exclusive dedication to the assigned MSCA project
  • Resided or carried out main activity outside Germany for 24 of last 36 months

Tasks

  • Develop robust clinical foundation models
  • Integrate structured data, free-text notes, lab results, and medical imaging
  • Create multi-modal models reflecting real clinical workflows
  • Pretrain models using multi-hospital datasets
  • Utilize public and private clinical data sources
  • Implement self-supervised learning strategies
  • Link EHR entries with patient-reported outcomes
  • Ensure models learn without extensive manual labelling
  • Create clinically understandable prompting techniques
  • Help physicians interact with models effectively
  • Avoid costly fine-tuning of models
  • Build trust in AI-driven medical decisions

Education

  • Currently in higher educationOR
  • Bachelor's degreeOR
  • Master's degree

Languages

  • English – Business Fluent

Tools & Technologies

  • machine learning
  • computational biology

Benefits

Job Security

  • 3 years initial appointment

Learning & Development

  • Outstanding training opportunities
  • Workshops and conferences

Workation & Sabbatical

  • International secondments

Team Events

  • Networking activities

Diverse Work

  • Outstanding research opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Max Planck Institute of Biochemistry and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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