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familiar with quantitative statistical analysis and has at least a basic understanding of statistical analysis framework or software. If you do not have any experience with the above but are interested in
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student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate
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software development. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation
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. Experience working with Finite Element Method (FEM) tools, such as Abaqus, ANSYS, OrcaFlex, or similar software, is highly regarded. Furthermore, an interest or practical experience in additive manufacturing
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-based tools such as BioSTEAM and Brightway LCA Software will be an advantage. Excellent communication skills in English, and willingness to work in an international, interdisciplinary team. Openness
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-based workflows to evaluate stability, properties, and synthesizability-by-design in close collaboration with NTU Singapore. Develop software frameworks, APIs, and workflows for foundational machine
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of demographic methods and experience with software such as R, or similar tools; be eager to learn new demographic methods. Further information about the position can be obtained from Head of Administration Astrid
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. Experience of collaborative software development according to modern best practices Excellent academic writing and presentation skills. You must have a two-year master's degree (120 ECTS points) or a similar
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self-motivation, and a genuine interest in environmental issues, design, and AI. Preferably, the candidate has experience with relevant software/AI tools and/or environmental science. Relevant
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software, is highly regarded. Furthermore, an interest or practical experience in additive manufacturing, including design, materials and processes, or testing, would strengthen your application. Finally, a