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standard simulation methods. This PhD topic falls within the area of computational materials science and will involve the use of established methods such as density functional theory and molecular dynamics
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://www.tu-chemnitz.de/ • Link https://www.microman4health.eu/ The relevant information on the collection and processing of personal data can be found at https://www.tu-chemnitz.de/verwaltung/personal/public
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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research topics in the earth sciences and biology. The student will belong to the Doctoral Program in Earth Surface Processes and Paleobiosphere (https://earth-processes.cuso.ch ), which provides many
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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English. Based on their participation in the programme, PhD candidates are admitted to the examination after five semesters, for which a research-based work is submitted. For the exact procedure
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and writing manuscripts. Application Procedure Applicants should submit the following as a single PDF to [email protected] with the subject line “InfantNeuroAI PhD 2026”: • full curriculum vitae
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information on the collection and processing of personal data can be found at https://www.tu-chemnitz.de/verwaltung/personal/public/Datenschutz/dse_dp_tucrecruitung.html Where to apply Website https://jobs.tu
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participation for all employees. The research group is now recruiting a full-time doctoral student (100%) with a start date of 1 October 2026 (or as agreed). Description of PhD Project The research focuses
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application! We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit