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approach that includes cross-section calculations, the development of Monte Carlo codes, and the advancement of the NanOx model for biological dose prediction. As part of a collaboration with the University
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staff position within a Research Infrastructure? No Offer Description Opportunity code: Postdoctoral (RL2_SP3_WP3.6) Area/Theme: “Thermo-Fluid Dynamic Models and Flow Assurance / Optimization
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have a strong interest in both theory and numerical work. Numerical work involves code development (e.g., changing the C++ LAMMPS code, programming of data analysis tools, etc.), carrying out large-scale
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, and anomaly detection. Build simulation pipelines and, where applicable, hardware-in-the-loop or lab prototypes; manage datasets and reproducible code. Academic Writing Lead and co-author journal and
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(FAPESP). Deliverables: - Generate a database and produce an interpretative meta-analysis about plant stress tolerance under P restrictions; - Reproducible code repository (training/inference/validation
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employment contract for a fixed period, part-time (2h/day), within the project "Device for the decontamination of materials, surfaces, and sensitive equipment" (Acronym DDMS) with the code PN-IV-P7-7.1-PTE
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-time (1h/day), within the project "Device for the decontamination of materials, surfaces, and sensitive equipment" (Acronym DDMS) with the code PN-IV-P7-7.1-PTE-2024-0413", CO - SC STIMPEX SA", Project
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Initiative (CZI). The developmental and physiological complexity of a given organism is not governed by the sheer number of protein-coding genes. In mammals, the numerous functional non-coding elements greatly
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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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, condition number theory, high-dimensional analysis (concentration of measure) and stochastic computation. A record of some high-quality mathematical reports and/or publications, as well as coding skills (e.g