Master Thesis Researcher
vor 3 Wochen
Job Title: Master Thesis
Job Description:
We are seeking a highly motivated and skilled researcher to join our team at Forschungszentrum Jülich. As a Master Thesis researcher, you will have the opportunity to work on a cutting-edge project that combines probability theory, mathematics, and data science.
Project Overview:
The project focuses on developing tailored Markov Chain Monte Carlo (MCMC) algorithms for metabolic flux inference. You will work on implementing these algorithms in an existing C++ framework, validating and benchmarking them with a realistic case study.
Your Responsibilities:
- Develop and implement MCMC algorithms for metabolic flux inference
- Implement the algorithms in an existing C++ framework
- Validate and benchmark the algorithms with a realistic case study
Requirements:
- Strong background in probability theory, mathematics, and data science
- Excellent practical C++ and Python programming skills
- Strong interest in curiosity-driven multidisciplinary research
What We Offer:
- Opportunity to work on a cutting-edge project that combines probability theory, mathematics, and data science
- Collaborative and international team environment
- Excellent technical equipment and the newest technology
- Qualified supervision and support
- Flexible working hours and working location
How to Apply:
Please submit your application through our contact form. We welcome applications from people with diverse backgrounds and look forward to receiving your application.
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