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is highly desirable. An ideal candidate will have a solid background in physics and chemistry, particularly in the area of statistical mechanics and percolation theory, materials modelling for fluid
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include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled
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of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work independently, has a passion for AI and its applications, and is willing to learn new technologies
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faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why
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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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with the main field of application being topological photonics based on microcavities. Analytical calculations Numerical calculations Analysis of experimental data The work will be carried out
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. Anharmonic spectra for PAHs can be calculated using 2nd order Vibrational Perturbation Theory on Density Functional Theory derived Quartic Force Fields but are computationally very expensive when considering
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theories and methods from the social sciences in our research. Where to apply Website https://www.academictransfer.com/en/jobs/355096/postdoctoral-researcher-compara… Requirements Specific Requirements
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Engineering Condensed Matter and Statistical Physics Condensed Matter Physics quantum statistical physics Quantum Condensed Matter Theory Quantum Computing Appl Deadline: 2025/10/10 11:59PM (posted 2025/09/10
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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