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in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale
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towards science literacy and STEAM (Science Technology Engineering Arts Mathematics) education. The network’s focus: Exploratory behavior is at the core of what it means to be human. Being confronted with
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microeconomic models that explain behavior and predict the impact of different policies to improve the societal acceptance of market mechanisms and market transactions. You will work closely with the project
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-analysis pipelines (statistics, mathematical modeling, and ML) for terabyte-scale 3D histology images, from preprocessing to analysis and validation. Handle and visualize large 3D microscopy datasets. Image
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well as their cleanroom fabrication by silicon micromachining will be investigated. The main challenges are (1) the design and modelling of new sensor topologies, (2) development of the MEMS fabrication processes, (3
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collaborate closely with GGS partners across academia, industry, and government. Key responsibilities Developing life cycle inventories (LCA PhD) or material flow models (MFA PhD) in close collaboration with
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collaborate closely with GGS partners across academia, industry, and government. Key responsibilities Developing life cycle inventories (LCA PhD) or material flow models (MFA PhD) in close collaboration with
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collaborate closely with GGS partners across academia, industry, and government. Key responsibilities Developing life cycle inventories (LCA PhD) or material flow models (MFA PhD) in close collaboration with
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powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models, such as macrophages and organoids
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will be trained in a variety of powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models