10 post-doc-image-processing Postdoctoral positions at Czech Technical University in Prague
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Selection process Application To apply, please send your motivation letter, CV, a list of published articles and optionally other supporting documents (e.g. letter of recommendation) to Dr. Martin Jirka
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. Recent progress in text-to-image generation, fueled by diffusion models and large-scale training, has greatly improved image synthesis aligned with textual prompts. This project, however, focuses on a
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imaging data. Building on recent critiques of overfitted prediction models, the project will implement a structured, multi-tiered analytical framework, comparing classical regression techniques with modern
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CORE A*/A conference paper. Ozone is a powerful oxidizing agent with applications in water treatment, air disinfection, food processing, and material coatings. It effectively eliminates pathogens and
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is expected to cooperate in development of new power system operation strategies or control strategies using most up to date technologies. We are looking for experience in: Flexible AC transmission
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service life in nuclear reactors. Where to apply E-mail drimakat@fel.cvut.cz Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications The ideal candidate
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camera observing the workspace is significantly distorted. Where to apply E-mail drimakat@fel.cvut.cz Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications We seek
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the group expertise, international collaborations, and overall research quality and impact. Where to apply E-mail drimakat@fel.cvut.cz Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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or FPGA circuits in the control of electric drives, on utilization of SiC or GaN semiconductors in power converter circuit. Where to apply E-mail drimakat@fel.cvut.cz Requirements Research
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physics can be incorporated in various ways. Two methods now researched most intensively are i) trainable machine learning pipelines may embed differentiable physical models, and ii) the learning process