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supports, nitride-based materials, and hierarchically structured porous materials for CO2 hydrogenation reactions using photo- or thermal catalysis. The successful candidate will be involved in optimizing
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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developing morphing surfaces enabled by Shape Memory Alloys (SMAs). These adaptive winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active
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of Radionuclides and Heavy Metals: Develop and implement nuclear analysis methods to characterize phosphate ores and their by-products. Monitor and control the migration of radionuclides and heavy metals throughout
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mark on the national, continental, and global stages. Job Description: We are seeking a postdoctoral researcher specialized in the modeling and optimization of waste management systems. The successful
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di Cuneo) will focus on: Sharing French and Italian experiences and jointly reflecting on the optimal placement of new measurement and observation instruments to be deployed during the project; Pooling
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variety of simulation and optimization techniques. Key areas of interest may include control theory, robust optimization, or distributed optimization. 2. The second candidate will focus on applied research
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control for iPSC lines. • Establish and optimize experimental protocols and analytic pipelines for assays (e.g., imaging-based biomarker assays, metabolic flux assays), multiomics profiling, and
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collection. Evaluate protein content, nutritional value, and functional properties of yeast biomass in various fermentation processes. Develop and optimize both liquid fermentation strategies offering high
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-molecular-weight biologically active ligands – development and optimization of efficient encapsulation procedures. Synthesis of polymeric nanoparticles and construction of final therapeutic systems