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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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to forward a copy of your CV along with your academic referees. Informal enquiries to:Colin.clarke@nibrt.ie or niall.barron@nibrt.ie Funding:Annual stipend of €25,000 plus fees for 4 years.Project 2: Model
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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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and simulation, Railway mechanics, and Structural mechanics. About the research project The current PhD position is one out of four within the project RAM3 : “Unlocking the Potential of Recycled
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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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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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of records from previous first and second-cycle studies at a university or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s
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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