Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
CO2 capture in a Vertical Electrical Shaft Kiln, powered by renewable electricity and operated through an e-Transformer that enables direct grid integration and dynamic operation. Your primary role will
-
conduct local Danish data collection and perform collaborative and comparative analyses of the data. The following tasks will all be core activities: Conduct and analyse focus group interviews with Danish
-
for downstream sequencing and imaging. Performing MALDI mass spectrometry and spatial transcriptomics to characterize biological niches within mouse and human tissue samples. Performing quantitative imaging
-
against different operation conditions. The position is a part of a research project and prototype battery modules will be produced by one of the partners. The tasks include testing of these prototype
-
Engineering. The position is closely connected to our activities within developing high-fidelity models that capture the coupled thermal, chemical and electrochemical phenomena governing system performance
-
, AISTATS). Theoretical Rigor: A deep understanding of reinforcement learning foundations, with the ability to perform convergence and finite-sample analysis of complex, non-linear continuous control
-
computational model outputs and evaluating model performance using appropriate quantitative methods. We expect you have the ability and willingness to collaborate closely with agent-based modellers, experimental
-
strategies across Denmark, which includes but not limited to nitrification inhibitors and other fertilizer management strategies. A key part of this work will be performing uncertainty analysis and model
-
pragmatic, iterative mindset - prioritising what works empirically and is testable over purely theoretical correctness. Valued: Experience with high performance computing (HPC). Prior exposure to mass
-
. The position is part of the EU-funded EVOLVE project and focuses on controlled-environment biological testing of extracellular vesicles as a non-GMO platform for steering plant performance and plant-microbe