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manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical
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, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming (e.g. C++, Python, Matlab
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years. Employment stops automatically at the end of the period. The holder of the scholarship is not allowed to have other paid employment during the three-year period (the 5+3 programme ). Further
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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Food Science programme. The position is available from 01
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engineering, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab
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. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale modelling, preferably WRF Experience of scientific programming and running code on HPC systems
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candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in accordance with Faculty regulations
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areas within the theme of climate law, and within the scope of the CBS LAW, will also be considered. About the PhD programme The three-year PhD programme at CBS gives you the opportunity to conduct
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor Joerg Jinschek. We offer DTU is a leading technical university
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage