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the optimization of bioactive compound extraction from various seaweeds for the development of fortified foods. This PhD position aims to (i ) identify suitable seaweed species for high-yield protein extraction, (ii
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intelligence (AI) to optimize large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. Key research areas include: Enhancing Selection Decisions: How can we make
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and responsibilities. The applicant is expected to have expertise in the design and optimization of electrical and mechanical components, including actuator selection and control, CAD workflows
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significant experience with disseminating and making own professional competencies visible in broad societal circles aiming to optimize the impact of the research and the educations. This will be an advantage
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Microscopy Expertise: Operate, maintain, and optimize studies using confocal microscopy systems for the research group • Develop imaging protocols including plant tissue preservation for advanced imaging
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. Responsibilities: Conduct research in compilation, optimization, and analysis for time-predictable computer architecture. Co-supervise MSc and PhD students. Contribute to teaching and research proposal preparation
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human behavior and provides active
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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at (i) optimizing grain legume cropping among other via inoculants and nutrient supply, (ii) improving the mechanistic understanding of grain legume physiology and resistance to stresses, (iii