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Field
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candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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-resolved fluorescence methods for studying protein-protein interactions and protein structure-function relationships in live cells. This project will focus on elucidating the structure-function mechanisms
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** Deployment and optimization of the PFAS analytical toolbox: targeted analyses (LC-MSMS, GC-MSMS), total oxidizable precursor assay (TOPFAS), and non-target screening (NTS, LC-HRMS Orbitrap). Intercomparison
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imaging, infrared thermography and image-based performance modelling. You will join the Solar Photovoltaics Systems Team at DTU Electro, an internationally recognized research environment focusing
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fields to address challenges associated with environmental sustainability, innovative product development, and resource management.RESPONSIBILITIESLead the development and optimization of innovative food
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, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions for aerodynamic design optimization of wind energy systems in complex urban
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Deploy, commission, and operate TES X-ray microcalorimeter spectrometers at APS beamlines, including cryostat integration, beamline interfaces, alignment, and stability optimization. Perform pathfinding
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. Proficiency in Python programming and major ML/DL frameworks (e.g., PyTorch, TensorFlow). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge
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networks (5G and WiFi 7 and their evolutions) in terms of architecture, protocols, and optimization. These networks benefit from new technologies and approaches, such as virtualization and AI, to make them
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background in microalgal or microbial cultivation, photobioreactor operation, and process control. Knowledge of bioprocess design, hydrodynamics, or model-based optimization. Understanding of microbial stress