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to mechanical stimulation Methods and Approaches: The project combines state-of-the-art experimental and computational techniques, including: Transgenic mouse models and lineage tracing Orthodontic tooth movement
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Deciphering Streptococcus dysgalactiae subsp. equisimilis Population Genomics and Host-Pathogen Interactions using Advanced 3D Tissue Engineered Infection Models School of Biosciences PhD Research
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agenda on multimodal and multilingual language models. The successful candidate will focus on the development of multimodal, multilingual resources and on the design and evaluation of methods that leverage
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). The proposal lies at the intersection of digital twins, AI techniques, and predictive model development, proposing an integrated and scalable ecosystem capable of enabling new energy management
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights into the key parameters governing
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vulnerability index for ZD children, as well as other geospatial and modelling analyses (WP1) Teaching and/or third mission commitments: • Support the project lead partner in communication, dissemination
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phases [1]. The main objective is to study these effects, never observed before in an experimental setting, through numerical modelling and laboratory experiments. This PhD thesis is part of a
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will contribute to the institute’s research focus on information retrieval (IR). Responsibilities: · Developing neural retrieval and ranking models to support the effective retrieval of scientific