PhD/Postdoc Opportunity in Dynamic Modeling and AI at University of Freiburg

Date:

Overview

The Institute of Medical Biometry and Statistics (IMBI) at the University of Freiburg, Germany, is inviting applications for PhD and postdoctoral positions. This opportunity focuses on integrating biostatistics with artificial intelligence, aiming to advance the field of medical data science. The selected candidates will work within the Collaborative Research Center IN-CODE, contributing to innovative research that combines dynamic modeling techniques with AI.

Background & Relevance

Dynamic modeling is crucial in understanding complex biological systems, particularly in medical research. By employing techniques such as differential equations alongside AI-driven representation learning, researchers can analyze time-resolved neuron image data and spatial data more effectively. This interdisciplinary approach is vital for uncovering how information is encoded in the brain, which has significant implications for neuroscience and medical applications.

Key Details

  • Position Type: PhD or Postdoctoral Researcher
  • Funding Duration: Initially until December 2027, with the possibility of extension
  • Salary Level: 100% German TV-L E13
  • Location: University of Freiburg, Germany
  • Application Deadline: August 31, 2024
  • Contact for Scientific Project Information: Fabian Kabus (fabian.kabus@uniklinik-freiburg.de)
  • Application Email: bemb.imbi.sek@list.uniklinik-freiburg.de

Eligibility & Participation

Candidates with a Master’s or Ph.D. in statistics, computer science, mathematics, or a related field are encouraged to apply. This position is designed for individuals who are passionate about applying their modeling skills to real-world biomedical challenges.

Submission or Application Guidelines

To apply, candidates should prepare the following materials:
1. A detailed CV
2. Contact information for two academic referees
3. Send the application to bemb.imbi.sek@list.uniklinik-freiburg.de

More Information

The integration of AI with traditional modeling techniques represents a significant advancement in medical research. By collaborating closely with biomedical researchers, this initiative aims to create novel modeling workflows that can lead to groundbreaking discoveries in understanding brain functions and disorders. The University of Freiburg, known for its high-quality research environment, offers a supportive atmosphere for career development in a vibrant city.

Conclusion

This is an exciting opportunity for researchers looking to make impactful contributions at the intersection of AI and medical data science. Interested candidates are encouraged to apply and join a team dedicated to pioneering research in dynamic modeling and its applications in understanding the human brain.


Category: PhD & Postdoc Positions
Tags: biostatistics, artificial intelligence, medical data science, dynamic modeling, differential equations, representation learning, neuron imaging, University of Freiburg, Germany, computer science, mathematics, modeling techniques

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