Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
. Project summary The doctoral student will carry out a large part of the research project "Rethinking urban planning and transformation in co-creation: Towards a framework for calculation of habitat value
-
). Qualifications The candidate must have a PhD in mathematics. In addition, knowledge of classical L2-methods in complex analysis and pluripotential theory is required. Familiarity with multivariable residue theory
-
nanocellulose and graphene suspensions, polymer nanocomposites, hydrogels, adhesives, and various biomaterials (e.g. biofilms, tissues). Dynamics of complex fluids – Our work examines thixotropic yield stress
-
workforce that collaborates with AI, automation, and new emerging technologies to achieve competitiveness. The strongly needed transformation towards Industry 5.0 is still in its early stages and targeted
-
introduces new and underexplored vulnerabilities to network-based threats. The goal of this research is to uncover such threats, evaluate their impact on training performance and model integrity, and develop
-
What if you could design systems that not only follow instructions — but understand intent and guarantee correct behavior over time? We are looking for up to two PhD students who want to explore
-
and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
-
our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the mechanisms, and time scales involved at particle scale, for the formation and failure
-
failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
-
(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines