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testing (NDT), and the mechanics of advanced materials, particularly composites and fatigue-critical structures. A key research direction involves the integration of machine learning and deep learning
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on machine and deep learning methods for analyzing the heterogeneity of microbiota and inferring activities of biological pathways. The Institute provides an international and interdisciplinary research
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infrastructure (e.g., turbine components). Research on advanced deep learning techniques, including architectures based on GRU, LSTM, attention mechanisms, and hybrid models. Implementation of real-time predictive
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arrays) from experimental data, leveraging training on simulated datasets. Interpretable neural networks for physics: Development of interpretable deep learning models for identification of matter phases
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research results in international journals with an IF (at least 5 publications); documented experience in conducting research related to deep learning methods, machine learning, and computer vision in
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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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), e. a cumulative IF above 30, 2) experience and skills in the processing of medical signals and images, multimodal data, implementation of deep learning methods, data science, 3) programming skills and
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Researcher (R1) Positions PhD Positions Application Deadline 31 Mar 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2026 Is the job funded