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steel industry. A world without steel is unimaginable, yet we need to produce this steel sustainably. The Groeien met Groen Staal programme (GGS) aims at making the Dutch steel sector CO2 -neutral by 2050
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chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir
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embedded within the group of Dr. Fedor Miloserdov ( Homogeneous Catalysis and Biomimetic Synthesis - WUR ), located in the Laboratory of Organic Chemistry ( Organic Chemistry - WUR ), which is headed by Prof
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, located in the Laboratory of Organic Chemistry (Organic Chemistry - WUR ), which is headed by Prof. Han Zuilhof . You will be supervised by Dr. Laura Righetti and Dr. Gert Salentijn with support by
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., machine learning, stochastic dynamic programming, simulation). Affinity with (food) supply chain management is preferred. To collaborate with and to co-supervise MSc thesis students and internship students
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PhD thesis within the contract period is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of the Faculty
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machines that will lead to demonstrations with practical relevance. Specifically, this project in the group of prof. Feringa aims to address two key challenges: 1) How can we amplify the work of molecular
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the analysis. These logistics concepts must be resilient: robust, adaptive, and flexible. The research questions can be tackled by combining techniques from the domains of Integer programming, (Stochastic
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forms from land via inland waters to sea. You will synthesise, test, and use the reported methane kinetics from labs and culture experiments to construct the model using Python programming language. You
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candidate will be supervised by Prof. Francesco Maresca, chair of the Mechanics of Materials unit of the Engineering and Technology institute Groningen (ENTEG). Organisation Founded in 1614, the University