Sort by
Refine Your Search
-
that combine principled mathematical modelling with learning-based refinement. The aim is to enable robust 3D reconstruction and tracking of skeletal structures such as the femur and pelvis. The research will
-
strategic research agenda on sector coupling, net-zero energy systems design & analysis, and integrated Power-to-X systems. The postdoc will lead advanced modelling and techno-economic analyses of large-scale
-
advanced modelling and techno-economic analyses of a potential CO2 hub at Nybro, with a particular focus on: Symbiosis between data centers and solid sorbent direct air capture (DAC) systems Integration
-
industrial ecology by strengthening SDU LCE’s capacity in data-driven methods, modelling, and decision support, including environmental informatics approaches where relevant. The research can include the
-
microscopy, and protein structure prediction by artificial intelligence algorithms. The goal is to generate functional models of multimeric protein complexes and how they assemble as a guide to understand
-
development, biomass availability, and sector coupling is experiencing significant growth. The group combines techno-economic modelling, system optimization, and infrastructure planning to address real-world
-
domestic or office settings. Note that there is growing trend towards XAI today. Opaque-box models with deep learning (DL) might potentially offer high accuracy but are not explainable due to which there can
-
, circular economy strategies, and sustainable process design. Primary Responsibilities Develop prospective environmental assessment models for marine-based biorefinery systems Conduct life cycle assessment
-
flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and
-
models) and conduct empirical studies (employing experimental, qualitative, and econometric methods) to generate knowledge about important unsolved questions of organizational decision making and problem