Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Qualifications: Ph.D. in Complex Systems Science, Computational Social Science, Applied Mathematics, Urban Systems, Network Science, Political Economy, or a related field. Demonstrated experience with
-
investigations. Required Qualifications: Ph.D. in Complex Systems Science, Computational Social Science, Applied Mathematics, Urban Systems, Network Science, Political Economy, or a related field. Demonstrated
-
for a Research Scientist in Complex Systems to support the Wicked Problems (WiP) program. This transdisciplinary position is designed for a researcher capable of bridging networks, feedbacks, and
-
complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be
-
reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and biochemical reactions to scale-up and validation of process
-
solve complex real-world systems, ranging from climate, health, and manufacturing to logistics, mobility, and urban design. Key Responsibilities: Mentor student teams in the mathematical modeling and
-
reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and biochemical reactions to scale-up and validation of process
-
modeling, numerical simulation, and decision optimization to help students understand, abstract, and solve complex real-world systems, ranging from climate, health, and manufacturing to logistics, mobility
-
understand, abstract, and solve complex real-world systems, ranging from climate, health, and manufacturing to logistics, mobility, and urban design. Key Responsibilities: Mentor student teams in
-
to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project