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innovative, interdisciplinary projects. Using both in vitro and in vivo models, the successful candidate will perform functional validation of candidate genes and advance our mechanistic understanding
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and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both
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data analysis. The successful candidate will also be involved in the preparation of samples and their characterization using standard laboratory-based methods (optical and scanning electron microscopy
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understanding of WS/DP adsorption to solid–water interfaces, including soils, sediments, sludge, and model mineral/organic surfaces. Experimental studies will investigate polymer–surface interactions, adsorption
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of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce synthetic responses to psychological experiments and how
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research consortium will develop a new type of molecular motor, based on a proto-driven switching mechanism, called tautomerism, which has thus far remained underexplored in motor designs, despite its
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Previous experience with in vivo animal models is advantageous Excellent communication skills in English (oral and written) are a must High motivation, strong interest in skeletal research, durability
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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze
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utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood
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responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C