Lokalita: Prague

Application of deep learning methods for simulation and data evaluation

During the internship, the student will be introduced to the basic algorithms of deep learning and the theoretical background of these algorithms. Using selected examples, you will learn how to use modern software tools to implement machine and deep learning algorithms on massively used hardware multiprocessor CPU/GPU platforms.The goal of the internship is to enable…

Explanatory models for the interactive development of scientific theories

Machine learning methods are already a common part of scientific practice. However, the most accurate models are currently black-box models, where it is not easy to determine how the model works. It is possible that even accurate predictions are based on misinterpretation of data, for example due to incomplete training data. Explanable machine learning models…

AI methods in electron and fluorescence microscopy

New generations of electron microscopes and super-resolution fluorescence microscopes, combined with deep learning methods, offer unprecedented possibilities for the analysis of material and biological samples. During the placement, students will learn about reconstruction methods such as deconvolution and super-resolution, and gain insight into methods for automatic segmentation, detection and trekking of large numbers of small…

Segmentation of 2D biological objects

Segmentation of 2D biological objectsThe focus of the proposed work is the development of computer vision methods with an emphasis on object segmentation in 2D data. In collaboration with microbiologists, data will be analysed with specific tasks. The study will include the selection of appropriate metrics to compare the performance of different segmentation methods. Based…

Unlocking the Potential of 2D Materials

Are you fascinated by the potential of emerging 2D materials and their diverse applications across various fields? Join us in exploring the extraordinary features of these materials and unlocking their full potential! At our lab, we focus on the tuning of the properties of 2D materials to optimize their performance for specific applications. One of…

Photoswitches – graphene functionalization using chiral organic molecules

In the current project, we are particularly interested in the covalent attachment of small organic molecules to 2D materials[i] and the linking of the latter via the former. While in most of our projects, the organic molecules used for surface modification are commercially available or readily available from such, some projects require more extensive synthetic efforts.…

Supercapacitors based on 2D material Ti3C2 MXene

This topic connected with energy storage. In this project, student will use the 2D Ti3C2 MXene flakes for fabrication of supercapacitor. MXene is a new 2D material and has unusual electronic, mechanical and optical properties. The student will know the principle of the supercapacitor as well as how to fabricate it. The main parameters of…