Sort by
Refine Your Search
-
unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases
-
their robustness under geochemically relevant conditions of the late Hadean Earth. The research will involve the design and implementation of laboratory experiments to test the emergence and properties of prebiotic
-
, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio
-
areas in Lower Saxony, Germany, and Fryslân, Netherlands, and is developing a Strategic Conservation Plan for meadow bird habitats in Western Europe and West Africa, including habitat restoration plans
-
on the project’s development and feasibility considerations, the PhD researcher will be encouraged to integrate empirical-legal research and/or interdisciplinary methodologies into the research design. In your
-
, the PhD researcher will be encouraged to integrate empirical-legal research and/or interdisciplinary methodologies into the research design. In your doctoral research, under the supervision of your
-
materials, to aid design of novel more energy-efficient processing routes. The development of these digital twins requires reliable and predictive models for microstructure formation during steel processing
-
optimum processing conditions. Advances in digital twins also lead to fewer experiments and less usage of raw materials, to aid design of novel more energy-efficient processing routes. The development
-
, Direct Electrical Stimulation) and also computational methods for task-design and to detect mild language problems (word network metrics). This research is timely because people with brain tumors have
-
neuroimaging methods before and during surgery (navigated Transcranial Magnetic Stimulation, Direct Electrical Stimulation) and also computational methods for task-design and to detect mild language problems