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Master Thesis - Efficient Markov Chain Monte Carlo Techniques for Studying Large-scale Metabolic Models

Forschungszentrum Jülich GmbH | Jülich, Germany | Posted June 28, 2026

Position Overview

Master Thesis - Efficient Markov Chain Monte Carlo Techniques for Studying Large-scale Metabolic Models

As a leading research institution for microbial biotechnology the Institute of Bio- and Geosciences – Biotechnology (IBG-1) focuses on the development of biotechnological processes for the sustainable bio-based production of pharmaceutical and chemical products. We investigate how microorganisms and isolated enzymes can be used to produce a variety of products from renewable raw materials. IBG-1 is a leading institution in process development for industrial biotechnology with increasingly miniaturized and automated experiments. The institute provides an excellent infrastructure for parallelized lab robotic experiments on microtiter plates. Various analytical methods are available for online and at-line measurements. These are combined with advanced digital technologies for data analysis, modeling, experimental design and process optimization.

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