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Field
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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to fundamentally transform our understanding of how media shape adolescents' gender beliefs, body image, sexuality, and mental health. GENSCOPE recognizes that adolescents simultaneously navigate diverse, and often
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to novel personalized strategies of particles de-sign for drug delivery, imaging or diagnosis. This PhD project will develop stimuli-responsive nanozyme coatings for personalized medical implants. Nanozymes
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) technology offer new opportunities to improve the diagnostic quality of chest imaging. With its ability to provide ultra-high-resolution (UHR) images and spectral information, PCCT has the potential to enhance
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 4 days ago
particularly relevant, although it is not mandatory. Experience with experimental animal models, molecular and cellular biology techniques, stereotaxic procedures, metabolic phenotyping, imaging, transcriptomics
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culture, protein work, microscopy) and relevant area(s) A strong interest in oncology, tumour biology, pancreatic cancer, cell biology, molecular mechanisms, imaging A willingness to work with animal models
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 7 days ago
-omics technologies, advanced imaging, data science, and artificial intelligence, the CRC aims to uncover the mechanisms underlying cardiometabolic diseases and develop new precision-medicine approaches
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– AI-generated text, audio, images, and video. However, given their still developing cognitive skills, they may also be least equipped to deal with synthetic content. This project investigates how
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-inspired computing paradigm with the potential to drastically reduce energy consumption while enabling faster inference than conventional digital architectures. A major challenge, however, is the development
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing