Úroveň pokročilosti: Introductory Topic

Materials for Efficient Hydrogen Storage

Efficient hydrogen storage is a challenge of the future. The aim of this work will be primarily the preparation of materials for hydrogen storage, creating graphs from measured data, and possibly assisting with their processing. At the same time, the student will also become familiar with working with an electron microscope. https://www.ipm.cz/

Measurement of the speed of crack propagation in a PE pipe

A well mapped crack propagation mechanism is the basis for accurate lifetime prediction of various components. While crack propagation rate measurement techniques are relatively well developed for metallic materials and the mechanisms are well described, this is not the case for polymeric materials. This work focuses on the measurement of crack propagation rate in various…

Local deformation mapping with 4D STEM software

4D STEM is an advanced transmission electron microscopy technique that simultaneously records a 2D diffraction pattern for each individual image point. Analysis of these patterns can then provide a wealth of information about the phase composition, crystallographic orientation and spatial distribution of microscopic deformations. During the internship the student will learn the basics of data…

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…

Artificial intelligence and various forms of automated driving

Development Simulation systems based on mathematical-physical models; Learning Methods Applicable to Quantitative and Qualitative Data, SW measuring and evaluation e.g. Matlab, Simulink, IAR for all ARM processors series, various HIL tools/devices/dataloggers for testing communication on vehicle bus like CAN, vehicle demonstrators based on Skoda platform, various SDK´s for embedded systems. Development new concept Human Machine…

Bayesian Network Analysis of Conspiracy and Disinformation Narratives

In a recent opinion survey conducted by Czech Radio, the Institute of Sociology of the Czech Academy of Sciences, and the Investigace.cz website, several questions were asked about belief in conspiracy theories, trust in institutions, and media consumption. A number of psychological variables were also included in the survey. The aim of the work is…

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…