Počet volných míst: 1

Bulding ECG Databases

The task is to create a general ECG database – explore and choose the proper database platform (SQL/NoSQL), create the design as the diagram scheme, and finally implement the database on a server and fill it up with data.  Skupina Umělá inteligence a medicínské technologie, oddělení Medicínské signály/Group of Artificial Intelligence and Medical Technologies https://www.isibrno.cz/cs

Functional nanolayers for the real world

At the Laboratory of Functional Biointerfaces at the Institute of Physics of the Czech Academy of Sciences, we focus on the development and study of functional nanolayers that can resist unwanted surface contamination – so-called antifouling coatings. These special surfaces find broad applications in medicine, biosensing, and industry. Our goal is to understand and control…

Intern for numerical modeling of failure in heterogeneous materials

This internship offers students the opportunity to participate in research on fracture processes in concrete and other heterogeneous materials. Due to its internal structure—cement matrix, aggregate, and pores—concrete is a complex material in which failure often develops at the cement paste/aggregate interface. The student will work on 2D/3D numerical modeling of this process using cohesive…

Determining the endurance life of selected construction materials

Current methods for determining the fatigue life of concrete structures focus on reducing stresses in structural elements. However, this approach only considers the degradation of mechanical properties due to cyclic loading and not the gradual development of microcracks. This topic is primarily concerned with the experimental determination of the fatigue life of construction materials, particularly…

Intern for research into hydrogen storage materials

This internship offers students the opportunity to participate in research into modern materials designed for the efficient storage of hydrogen – a key element in future energy solutions. The student will participate in the preparation of materials for hydrogen storage, the creation of graphs from measured data, and their basic processing. The internship will also…

Intern for experimental measurement of crack propagation velocity in polyethylene samples

This internship offers students the opportunity to participate in research on the durability of polymer materials, specifically high-density polyethylene (HDPE), which is commonly used in the manufacture of pressure pipes. The aim is to experimentally monitor and evaluate the mechanism of slow crack growth in different types of samples. While methods are well developed for…

Intern for 4D STEM data analysis

This internship offers students the opportunity to engage in modern materials research using the 4D STEM (4D scanning transmission electron microscopy) method. This method allows the diffraction pattern to be recorded at each image point, which can then be analyzed to obtain information about phase composition, crystal orientation, or local deformations. During the internship, students…

Intern for Deep Learning Applications and Data Analysis

Kick-start your career in AI and machine learning at the Institute of Computer Science of the Czech Academy of Sciences – a leading research institution focused on both fundamental and applied computer science. We are looking for a motivated intern with an interest in artificial intelligence and high-performance computing on modern multiprocessor CPU/GPU platforms. During…

Stážist(k)a pro analýzu multimodálních dat

Naměřená data často vykazují multimodální charakter – například dopravní údaje během dne, které se výrazně liší mezi ranní špičkou, poledním útlumem, odpolední špičkou a nočním provozem. Pro jejich analýzu proto nestačí jeden model, ale je potřeba kombinace více modelů, které zachycují jednotlivé fáze zvlášť a umí se dynamicky přepínat. Správná volba modelu je klíčová pro…

Stážist(k)a pro analýzu dat z dotazníků

Dotazníky představují významný zdroj informací v celé řadě oblastí – od medicíny, přes rozvoj chytrých měst, až po návrhy dopravních řešení. Poskytují však převážně diskrétní či diskretizovaná data, jejichž analýza může být složitá. Tradiční kategorické modely často selhávají při práci s více proměnnými a jejich hodnotami, protože dimenze modelu roste exponenciálně. Proto je nutné hledat…