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Student Assistant (m/f/d) Data Science AI for Health

Student Assistant (m/f/d) Data Science AI for Health

Student Assistant (m/f/d) Data Science AI for Health

Student Assistant (m/f/d) Data Science AI for Health

Mobile and Distributed Systems Group Department of Computer Science

Internet, IT

München

  • Art der Anstellung: Vollzeit
  • Vor Ort
  • Zu den Ersten gehören

Student Assistant (m/f/d) Data Science AI for Health

Über diesen Job

Student Assistant (m/f/d) Data Science AI for Health

Open position

Job description

Our renowned chair is currently establishing a new research unit called "AI for Health." To support our research projects, we are looking for motivated student assistants with a strong interest in data science and Python-based data analysis. If you enjoy working with data, analyzing complex problems, and want to make a real contribution to health research, we look forward to receiving your application.

Weekly hours
8 - 20h possible

Your responsibilities

  • Participation in data analysis and preparation in the context of health-related research projects
  • Development of analysis pipelines and prototypes in Python (e.g., with Pandas, NumPy, Scikit-Learn, PyTorch)
  • Visualization of data and results (e.g., with Matplotlib, Seaborn, or Plotly)
  • Support in the development of tools for data processing and evaluation
  • Collaboration in the documentation and testing of analysis components

Your profile

  • Good knowledge of Python and interest in data science topics
  • Initial experience with data analysis, machine learning, or AI is an advantage
  • Structured approach to work and willingness to familiarize yourself with new topics
  • Team spirit and initiative
  • Interest in the application of data-driven methods in a healthcare context

What you can expect

  • Responsible work in an international research environment
  • Flexible weekly working hours
  • Workplace in a central, attractive location near the English Garden in Munich
  • Good training and open communication

Contact

We look forward to receiving your detailed application, including a cover letter, resume, and references. Please send these preferably in a single PDF document (max. 5 MB) by email to: jobs@mobile.ifi.lmu.de . The application period is open immediately and will remain open until the positions are filled.

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