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Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.
Institution Faculty of Medicine
Remuneration group TV-L E13
Full-time / Part-time Part-time (65%)
Start date 01.04.2025
Application deadline 2025-02-16

About us:

The Mock Lab is based at the Institute of Pathology, LMU, in the vibrant heart of Munich (Thalkirchner Str. 36, 80337 Munich). We are a dynamic and interdisciplinary team of cancer researchers driven by a passion for clinical translation. Our work leverages cutting-edge multidimensional tumor characterization, advanced clinical model systems, bioinformatics, and AI. The lab is supported by the Deutsche Krebshilfe (Max-Eder-Program). Learn more about us at www.mocklab.de.

We are looking for you:

PhD in Computational Pathology (m/f/x)

in Munich

Your tasks and responsibilities:

  • Use machine learning and AI to analyze very large clinical cohorts (>1.000 patients) of histopathological slides and get insights into histopathology diagnostics
  • Integrate image data with biological data (“omics”)
  • Develop digital biomarkers and decision-support tools for cancer diagnostics
  • Further develop spatial analysis of biological data sets (e.g. spatial transcriptomics).

Your qualifications:

  • A Master degree (or equivalent) in machine learning, bioinformatics, informatics, physics, biomedicine or related science fields
  • Extensive proficiency in quantitative data analysis and programming skills in relevant languages (most importantly Python)
  • Strong command of English
  • An open and outgoing personality with exceptional teamwork skill
  • Ability to think critically and work independently.

Benefits:

  • Opportunities for collaboration with machine learning research groups at other universities and AI startups
  • Comprehensive onboarding in a supportive, interactive, and dynamic research environment
  • Access to state-of-the-art infrastructure
  • Flexible working hours
  • Access to professional career development services within LMU
  • The salary will be based on TV-L ‘Entgeltgruppe’ E13
  • Free parking and a centrally located workplace in Munich, situated in a vibrant neighborhood with excellent public transport connections

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

Please send application materials to Dr. Dr. Andreas Mock: a.mock@lmu.de

We look forward to receiving your complete application as a single PDF file (max. two MB), including the following requirements:

  1. Curriculum Vitae (max. two pages, written in English)
  2. Transcript of records
  3. Short statement of your research interest and why you choose to apply for this position (max. one page)
  4. Contact details from three referees and how they interacted with you (one referee should be the supervisor of your Master thesis)

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