Sort by
Refine Your Search
-
: Odense, 5230, Denmark [map ] Subject Areas: mathematical theory, algorithm development, error correction, adaptation of GBS-based algorithms to other quantum computing platforms, and the development
-
(entities) given the rules and the rules given the molecules. The aim of this project is to develop a theory and accompanying algorithms to decide if an abstract system can be instantiated by a concrete
-
electricity price signals, demand-response mechanisms, and time-of-use optimization. AI-Driven Optimization using Reinforcement Learning: Apply RL algorithms to develop and train agents that optimize power
-
algorithm. Design methods: Develop novel control methods for power electronic converters feeding electric machine Simulation: Learn advanced simulation tools such as Ansys to simulate and analyze the effect
-
programming Creating their own mechanical designs, implement and test them accordingly, Implementation of control algorithms on physical experiments. In addition, the candidates are expected to contribute with
-
organization in unprecedented detail. These datasets will be integrated with genetic profiling and mechanistic follow-up studies to uncover how specific cellular states, transcriptional programs, and genetic
-
sensory perception. Cilia dysfunctions result in rare human diseases known as ciliopathies that affects multiple organs leading to clinical manifestations such as blindness, deafness, obesity, mental
-
the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with
-
. MYC activity at enhancers drives prognostic transcriptional programs through an epigenetic switch. Nat Genet. 56(4):663-674. Siersbæk et al., 2020. IL6/STAT3 signaling hijacks ER enhancers to drive