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functionalisation with receptor molecules. Position Overview: We seek a postdoctoral researcher to develop and optimize surface functionalization strategies for optical chips, focusing on molecular recognition
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/). Researchers at GRIP aim to understand the molecular basis of disease, develop innovative therapeutic strategies, and optimize drug delivery to improve human health. Our teams combine expertise in nanomedicine
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. Optimize reaction conditions and explore scale-up potential. Analyze pollutant degradation and hydrogen generation mechanisms. Document experiments, publish results, and present findings at conferences
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, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You will be part of a collaborative
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toxicity and X-ray dose optimization in cancer and healthy cells, 2) optimization of intratumoral administration, in vivo pharmacokinetics, biodistribution and toxicity assessment and 3) therapeutic efficacy
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models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning models combining CT imaging and clinical data, trained on the unique
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profitability. Examples include optimizing production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental
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obtained ScanNanoTreat (SNT) EIC transition grant. Specific tasks are 1) in vitro evaluation of nanohybrid toxicity and X-ray dose optimization in cancer and healthy cells, 2) optimization of intratumoral
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characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real-life conditions; You will perform structure-property correlations and unravel
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cancer, in a single location in Utrecht. Our institute aims to provide the highest level of care for all children with cancer, with optimal quality of life. The center brings together the best possible