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animal research, imaging and radiotherapy who is interested in the application of X-ray activated anti-cancer nanohybrids Postdoctoral researcher in preclinical X-ray activated nanohybrid therapeutics Our
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. Reporting: Communicate findings to project partners with diverse backgrounds (e.g., space systems engineering, astrobiology, microfluidics) to support the development of a prototype LMCOOL instrument for
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the team you will be joining. Therefore, we would like to get the best possible picture of your knowledge, skills, and personality. Below are the qualifications and qualities considered important for
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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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now includes five years of follow-up data. You will focus on linking the molecular data with clinical data, which is being analyzed by clinical researchers. Additionally, you may integrate imaging data
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imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC). Your research will directly contribute to early detection and risk stratification
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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-efficient artificial intelligence (AI) applications. However, this new computing paradigm faces various design challenges in terms of design and technology challenges, application mapping and reliability
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, fluorescent in situ hybridisation (FISH), in vivo non-canonical amino acid tagging (NCAT), confocal and super-resolution imaging, molecular biology, biochemistry, and next-generation sequencing. In addition
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& Computer Science of the Eindhoven University of Technology in the field of “Geometric Learning for Image Analysis”.The two year postdoc position is part of VICI Project (VI.C. 202-031, PI: R.Duits) and will