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- University of Gdansk
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Description SOB/D110/2025/01/GR-7043 1 postdoctoral research position in the scientific project “Structural and algorithmic properties of hereditary graph classes” financed by the National Science Center (grant
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-healing processes in conductive composite materials * development of probabilistic algorithms for damage detection and localization * preparation of reports and presentations on conducted research
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information processing, quantum algorithms, higher-order quantum computing, symmetries and representation theory. Key responsibilities include: 1. Actively conducting scientific research. 2. Presentation and
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develop novel algorithms (Vision Transformers, Self-supervised Learning, Explainable AI, and others) and train machine learning models for cancer images (CT and PET/CT scans). The post-doc position involves
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, the efficiency and time response of single-photon detectors. Furthermore, EPIQUE will provide new perspectives for the design and the benchmarking of algorithms tailored for photonic quantum computation
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for structure-property predictions in disordered systems. Applying artificial intelligence (AI) algorithms to identify key descriptors for glass formation, stability, and mechanical performance. Gross Salary
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secure information transfer and collection essential. However, communication networks are vulnerable to attacks, and cryptographic codes can become breakable with advances in computer algorithms. Quantum
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on WNT signaling regulators and we use several genetic tools to study NH development in zebrafish larvae. Due to the short-term nature of the position (7 months), the offer is particularly suitable
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. The project merges taxonomy (integrative taxonomy and description of species new to science) with molecular studies including population genetics and reconstruction of phylogeny of chosen amphipod families
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meetings, and contribute to funding applications. Collaborate with team members and mentor junior researchers in the lab. Specific Requirements Requirements: D. in Biology, Biotechnology, Genetics