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Laboratory, which investigates how post-translational modification (PTM) networks regulate protein function, genome stability, and cellular decision-making. The laboratory builds on internationally recognized
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program for Data-Driven Life Science (DDLS) . The DDLS program focuses on the integration of multi-omics, the interplay between genetics and phenotypes, and the development of AI-driven strategies/tools
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, in collaboration with faculty and research staff at NCEMS, will conduct original research applying machine learning, artificial intelligence, computer science, statistical learning, or related
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networks and their variants (e.g., spiking neural networks) You publish internationally and give lectures. You apply for projects and raise third-party funds. You prepare and complete a publication-ready
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or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
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biomedicine and health. It provides foundations and advances in quantum information sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and
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-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information
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The Pluskal lab at IOCB Prague combines cutting-edge experimental (e.g., LC-MS, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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imaging data (e.g., CellProfiler, convolutional neural networks).•Knowledge of chemo-informatics and drug discovery.•Strong practical statistical skills (batch effects, confounders, experiment design). You