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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
qualifications Your primary responsibilities and tasks include (but not limited to): All steps from requirements analysis to conceptual design and final creation and validation of Runtime Multimodal Multiplayer
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
responsibilities and tasks include (but not limited to): All steps from requirements analysis to conceptual design and final creation and validation of Runtime Multimodal Multiplayer Virtual Learning Environment
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to three years or a SU PhD scholarship (4+4) for a period of up to four years in AI-based Analysis of Scandinavinist Propaganda and Public Perceptions during the Crimean War (1853-1856) provided
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observational data Sample analysis in the laboratory using state-of-art molecular microbiology techniques and fish health and welfare analysis Sequencing data analysis (bioinformatics) Scientific dissemination
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updating and data extraction Work with quantitative data analysis, including meta-analysis Integrate living systematic review data into a RBA of sustainable dietary transitions Develop a living support
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working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team
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that are listed below. Solid background in Structural Dynamics, Finite Element Modelling and Nonlinear Structural Analysis. Strong analytical and technical problem-solving skills, with a solid foundation in
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analysis. The project is funded by the Danish National Defence Technology Centre (NFC). The project is a collaboration between DTU, the Alexandra Institute and Copenhagen University’s expertise in AI-driven
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critical qualifications and technical skills that are listed below. Solid background in Structural Dynamics, Finite Element Modelling and Nonlinear Structural Analysis. Strong analytical and technical
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potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have