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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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) 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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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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. 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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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