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7 Jan 2026 Job Information Organisation/Company Czech Technical University in Prague Research Field Computer science » Cybernetics Computer science » Informatics Researcher Profile Recognised
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advantage: • Experience with health data standards (ICD, CPT, LOINC, SNOMED CT). • Familiarity with hospital workflows or clinical terminology. • Experience with machine learning, natural language processing
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scientific software Prior experience with machine learning force fields is considered an advantage Experience handling large-scale datasets and FAIR data practices Please click here for the position’s
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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river valleys); • Identify stylistic patterns and regional variations in schematic rock art; • Apply machine learning tools for large-scale stylistic classification; • Establish a robust chronological
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integrating modeling, machine learning (ML), and advanced control methodologies. The research will focus on designing AI-driven algorithms to assess battery health, predict degradation trends, and optimize
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the eastern coast of the Baltic Sea. Journal of Marine Systems., 129, 96–105, https://doi.org/10.1016/j.jmarsys.2013.02.001 Responsibilities and (foreseen) tasks Collection and processing of wave data, sea
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pangenomics), quantum-based simulation methods for drug design, or quantum machine learning for large omics datasets. The candidate is expected to have acquired first teaching experience, and first experience
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machine-learning techniques; interpretation of multimodal patterns of brain organisation; collaboration with international partners in alzheimer prevention; contribution to methodological innovation in
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning