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results with AI models and system simulations to create a digital twin of the PtX process for predictive optimization and scenario analysis. Funding This PhD position is generously funded through the Villum
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the following documents in PDF format: 1. Motivated letter of application (max. one page) 2. CV incl. education, experience, language skills and other skills relevant for the position 3. Certified copy
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vitae. A motivation letter of a maximum of two A4 pages. A concise research proposal of max 500 on how you would frame the project. If available, a copy of an article, book chapter or other academic text
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/or application areas such as the ones listed below: CROSS-DISCIPLINARY RESEARCH Nanomaterials &Nanofabrication Nanocharacterisation Modelling and simulation APPLICATION AREAS OF RESEARCH Health Energy
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish
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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
, including European stakeholders from horticultural industries and universities. Project description. For technical reasons, you must upload a project description. Please simply copy the project description
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project, e.g., fire safety engineering, CFD simulations of fire and combustion, risk assessments You must have a Master's degree in civil or mechanical engineering, energy- and environmental engineering
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, modularisation and platform design. Experience with Digital Advanced Product Modelling using CAD design, simulations, and mathematics. A strong motivation for collaborative projects within academia and industry
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the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have