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identification assessments of water quality when complex chemical mixtures are present and can be exploited to evaluate drinking water treatment technologies. We seek a curious and independent PhD candidate
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evaluate BCI algorithms for decoding motor intentions Integrate BCI systems with KAIST’s advanced exoskeletons Conduct experiments with healthy subjects and stroke patients Collaborate closely with a KAIST
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Differentiation of iPSCs into neural cells Genetic modification using CRISPR-based editing Analysis of gene expression profiles Evaluation of novel tools in iPSC-derived and mouse models Contributions to B.Sc./M.Sc
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expertise in bio-based materials, packaging technologies, and food safety evaluation while contributing to one of the most urgent sustainability challenges: reducing plastic waste without compromising food
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with focus on hazard assessment of the new developed materials, and chemicals used in their production Perform prospective Life Cycle Assessment (pLCA) to evaluate environmental impacts across the value
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developed at DTU. Specifically, the fellow will: Evaluate ASO efficacy in rat-derived macrophages and cartilage cells using cell culture, RT-qPCR, ELISA, and inflammatory stimulation protocols. Incorporate
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for Intelligence analysis. Implement Agent-based Modeling tools in Python. Develop and implement novel tools for Intelligence analysis. Carry out benchmark analysis, evaluating improvements over traditional
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
for dynamic risk evaluation; (3) the advancement of risk-to-resilience methodologies; and (4) the establishment of digital twin-based resilience frameworks for CI, HTI, and urban environments. The network
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for the position. The Risk-Benefit Research Group at the DTU National Food Institute is dedicated to advancing public health by evaluating both the risks and benefits associated with foods and dietary patterns
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of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement of risk-to-resilience methodologies; and (4) the establishment of digital twin-based resilience frameworks