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- Universidade do Minho
- University of Minho
- Centro de Engenharia Biológica da Universidade do Minho
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- Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho
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requirements: a) Holders of a Master’s degree, with experience in the deposition of thin films or other materials applied to biomedical devices, namely in the acquisition and modeling of biosignals; b
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) Research Fellowship for Master degree holder, within the scope of the R&D project “Radio4Breast - Mapping the potential of human breast-on-a-chip models for personalized radiation therapy, reference 16134
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photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced modelling and optimization techniques, this research aims to identify optimum
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knowledge of deep learning architectures and, in particular, Large Language Models (LLMs). Knowledge is valued both in advanced prompt engineering techniques (e.g. few-shot learning, chain-of-thought
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; Skills in computer programming. Workplan and objectives to be achieved: Development of Machine Learning tools for retrobiosynthesis pipelines, including: (i) validation and extension of models and tools
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. Understanding of ocular safety, with emphasis on the effects of radiant energy, relevant to environments with UVC radiation sources. Proficiency in scientific and modelling software, such as Zemax, Mathematica
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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dynamic thermal simulation of buildings with standard lightweight façades. Development of an innovative numerical model in EnergyPlus that allows for the simulation of buildings with dynamic thermal
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for modelled signal characterisation with a wide range of applications that goes from very low Gravitational Wave signals to Gravimetry. Fellowship 5 – Investigation of the electro-optic properties in BaTiO3
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of Artificial Intelligence tools (e.g., Scopus, Elicit) III. Solid knowledge in Maturity Models for Omnichannel Approaches in healthcare IV. Solid knowledge in the persona paradigm in the area of