PhD Opportunity: Mathematical Modeling: The Chair for Scientific Computing at the University of Kaiserslautern-Landau invites applications for a research position in the area of mathematical modeling and machine learning for cancer research. This opportunity is part of the AI-Care project, which aims to develop AI-based models to predict drug effects and optimize personalized therapies for brain tumor patients.
Designation
Research Position in Mathematical Modeling and Machine Learning
Research Area
- Mathematical Modeling
- Machine Learning
- Bioinformatics
- Cancer Research
Location
Chair for Scientific Computing, University of Kaiserslautern-Landau, Kaiserslautern, Germany
Eligibility/Qualification
- Master’s degree in Mathematics, Computer Science, or a related field
- Strong interest in mathematical modeling, machine learning, and bioinformatics
- Ability to work collaboratively in an interdisciplinary environment with researchers from mathematics, computer science, biology, and medicine
Job Description
- Develop mathematical and machine learning models for the AI-Care project
- Implement these models using Python and C++
- Collaborate with a multidisciplinary team of researchers
- Contribute to the early detection of drug effects and optimization of personalized therapies for brain tumor patients
How to Apply
Interested candidates should send their applications, including a cover letter, CV, and contact information for references, to Prof. Dr. Nicolas R. Gauger at nicolas.gauger@scicomp.uni-kl.de.
Last Date for Apply
Applications will be accepted until the position is filled. The start of employment is as soon as possible, and the duration is up to 6 years (100% E13).
Additional Information
For more information about the AI-Care project, please visit the project website here.
Prof. Dr. Nicolas R. Gauger
Email: nicolas.gauger@scicomp.uni-kl.de
Chair for Scientific Computing, RPTU, University of Kaiserslautern-Landau
Don’t miss this exciting opportunity to contribute to cutting-edge research in cancer treatment! Apply now and be part of a project that makes a real difference in the lives of cancer patients.