Lokalita: Prague

Identifiability analysis of parameters in Laser Shock Peening simulations

Laser shock peening (LSP) is used to improve the strength and fatigue resistance of components by hardening their surface. In our lab we have developed a framework for LSP simulation, which is based on the finite volume method. The critical component of the framework is the dynamic simulation of the elastoplastic shockwave that subjects the…

Deep learning tools for gravitational wave science

The discovery of gravitational waves has brought a revolution in modern physics, opening up a new observational window into the Universe. In this project, the student will work on the development of machine learning tools for the detection and statistical analysis of gravitational waves from the mergers of black holes or neutron stars, using cutting-edge…

Deep learning the stock market

Machine learning offers new and exciting tools to analyse broad topics in financial time series. In particular, understanding stock market trends are necessary for informed investment decisions. During this placement, the student will harness the power of state-of-the-art deep learning algorithms to understand market trends and forecast stock prices. The results will provide insights on…

Business Development & Marketing Intern

Join the Institute of Computer Science (Czech Academy of Sciences), a renowned research institute advancing cutting-edge IT innovation. Our Technology Transfer Department bridges the gap between theoretical research and the real-world applications, fostering strategic partnerships with private entities. We’re seeking a proactive and business-savvy intern to support our Technology Transfer Department. Reporting directly to the…

Junior Biophysicist

Cytoskeleton Remodeling as a Potential Regulator of Metabolic Rewiring in Liver Cancer Cells Emerging evidence has revealed that physical stimuli from the cellular microenvironment play a crucial role in transmitting mechanical signals that regulate key cellular functions such as proliferation, migration, and malignant transformation [1-3]. It is now clear that tumor cells are subjected to…

Diagnostics of Reactive Plasma Using a Planar High-Frequency Probe During the Deposition of Layers with Antiviral Effects

As part of the internship, the student will be involved in the research of plasma deposition of crystalline CuFeO2 layers with antiviral effects. The deposition of CuFeO2 layers will be carried out using the method of reactive pulsed magnetron sputtering with an additional high-frequency inductively coupled plasma operating in resonance with the electron cyclotron wave.…

A Look into the Heart of Affinity Biosensors: Custom Biochip Development

During this internship, the student will first become familiar with the fundamental principles of modern affinity optical and piezoelectric biosensors, which target the analysis of real, and therefore complex, biological samples, with a focus on public safety, clinical diagnostics, and food safety. The student will learn measurement techniques such as surface plasmon resonance (SPR) and…

Preparation and Optimization of Inorganic Crystals for the Detection of Ionizing Radiation

During the internship, the student will become familiar with the characterization and preparation of crystals for scintillation detectors of ionizing radiation. The crystals will be prepared using the modern micro-pulling-down method, which is currently available only at the Institute of Physics of the Czech Academy of Sciences. The influence of composition (stoichiometry) of gadolinium-gallium-aluminum garnet-based…

Application of Molecular Dynamics in Materials Research

Molecular Dynamics (MD) is a computer simulation method that describes the motion of atoms and molecules. The trajectories of atoms and molecules are typically determined by numerically solving Newton’s equations of motion for a system of interacting particles, where the forces between particles and their potential energy are often calculated using interatomic potentials or molecular…

Functional nanolayers for the real world

The student will become familiar with the procedures for the preparation, characterization, and application of functional nanolayers with so-called antifouling properties during their internship, which can have wide applications in the real world. They will learn methods such as post-modification of polymer layers to anchor bioreceptors to the surface, achieving targeted functional properties of the…