Lokalita: Prague

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…

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…