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in glasses. The topics range from materials’ deformation to machine learning approaches and we are interested in particular in complex metallic glasses. Some recent example publications are: .Phys
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cognitive and brain sciences, quantum computing, artificial intelligence and machine learning. The initial appointment is for two years with a possible extension for a third year depending on performance and
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Description KEY WORDS: Medicinal chemistry, “Hit to lead” – molecules optimization, Chemoinformatics, Bioinformatics, Data analysis, Machine learning, Artificial intelligence Recruitment to Laboratory
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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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both modes of detection, at one side by means of ion-transfer voltammetry, at the other using well established methods of voltammetric analysis of dopamine on carbon. Secondly, machine learning methods
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algorithms (e.g., in quantum machine learning methods) and to develop new ones with promising practical applications. Furthermore, we intend to apply these mathematical insights to symmetry-based reductions