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of data at high luminosity (after Upgrade-2), participation in coordination of activities in software groups or data analysis groups, coaching of PhD as an auxiliary supervisor on machiner learning, new
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for Nuclear Research (NCBJ) is inviting applications for a position PhD student - scholarship (machine learning-driven modeling of metallic glasses) Location: Otwock - Świerk - in the outskirts of Warsaw with
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in tasks related to effective data distribution on measurement platforms, using network interfaces and storage systems for data recording. Requirements for the candidate: PhD obtained no earlier than 7
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to the development of software packages for image reconstruction methods Analysis of simulation or experimental data Participation in the preparation of scientific articles and publications Requirements: Status of a
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dynamics) and radiotracer detection (Monte Carlo simulation of photon propagation and interactions) Contribution to the development of software packages for image reconstruction methods Analysis
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://nomaten.ncbj.gov.pl Requirements: Ph.D. in physics or related field (who has been awarded a PhD degree within 7 years before joining the project) We search for a candidate interested in metallic glasses. The approach
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learning techniques (e.g., JRODOS-MATCH, surrogate models based on Neural Networks), and Kubernetes architecture for distributed computing. The method will be validated with real event data and will provide