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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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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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National Science Center (NCN), Agreement No. UMO-2023/05/Y/ST11/00261 is being searched. A scientist will join to the SMtoRDUI project team of Dr Maciej Dutkiewicz, PHD,DSC. The project focuses
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. The outcome of the project will be the assembling of three prototypes: • QSPACE, machine encoded in spatial modes and operating with discrete variables; • QTIME, machine encoded in temporal modes and operating
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, M. Kmiecik, et al., Phys. Rev. C 105, 014310 (2022) Where to apply E-mail jobs@ifj.edu.pl Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications - PhD degree in
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interpreting conditions. The interpreting output will be evaluated using artificial intelligence-based tools. This will help us learn 1) how interpreters' brains respond to different levels of text difficulty
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essential for the operation and advancement of the experiment active participation in international meetings and workshops Requirements for the candidate: PhD degree in particle physics (candidates who will
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solving mechanisms of their action. Our websites: https://portal.ichb.pl/pracownia-testow-i-obrazowania-molekularnego/ and https://chembio.pl/ I. Requirements for the candidate: 1. PhD in chemistry or