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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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trial focused on optimizing mammography interpretation with AI assistance. In this project, we will perform a prospective trial at the Dutch Breast Cancer Screening Program to determine the impact on
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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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who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial transcriptomics, whole genome sequencing, proteomics, organoid modelling
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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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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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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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. The specific project direction will be tailored to align with the candidate’s background and interests. Candidate Profile We are looking for candidates who meet the following criteria: PhD in a related
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initiatives and data-driven reaction optimization. This is what you are going to do This research offers a unique opportunity for highly multidisciplinary exploration within a diverse and collaborative team
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two one-year postdoctoral positions available, centered on our RoboChem initiatives and data-driven reaction optimization. This is what you are going to do This research offers a unique opportunity for