Sort by
Refine Your Search
-
framework to incorporate annotation probabilities in hierarchical models. · Use long-term passive-acoustic datasets from at least two projects investigating the role of forest structure and composition
-
in vitro tissue models ideally need to account for the complexity of ECM composition, extracellular and intracellular forces, and reproduce specific microenvironmental conditions. This doctoral project
-
, flexible materials, bio-based foams, recycled fibers, adaptive textiles, fabrics, padding materials, and composite structures. It will also address the reduction of environmental impact while extending
-
and evaluation of composite tanks and steel piping under cyclic thermal and hydrogen exposure. Predictive modeling of material degradation, fatigue, and embrittlement. Assessment of thermal management
-
imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in micrometer resolution, allowing validation of the model predictions. Validation and evaluation
-
at cell membranes; Apply machine-learning models trained on simulation data to study how lipid composition and genetic variation influence the conformational and phase properties of membrane-associated
-
at industrial partners at TRL 6. Our objectives: Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as