Sort by
Refine Your Search
-
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
-
(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
-
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
-
biased, outdated, or sensitive data? That's where the project TRAI comes in. This research project aims to develop machine unlearning algorithms to selectively erase specific knowledge from trained AI
-
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
-
genetic analyses, questionnaires and image analyses of the mammogram. Project is explained in more detail on https://prsonal.dk/ and https://clinicaltrials.gov/study/NCT06060938?term=PRSONAL&checkSpell
-
. 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