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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
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on CIGS, may degrade or loose efficiency. This includes investigating how the materials’ composition, their physical structure, interfaces between layers and interactions with the environment affect their
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are affected by chemical composition and crystal structure. For example, it studies how the process parameters and synthesis methods affect material properties. An important area is new magnetic materials based
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composition of the 3D microenvironment in normal and pathological tissues can impact the efficacy of treatment strategies. Therefore, to better replicate tissue-specific cell behaviors and responses, advanced
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into scaffold–cell interactions and contribute to the development of clinically relevant bone substitutes. Project goals Goal 1: Develop and optimize biomaterial inks replicating the composition of natural bone
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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
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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