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Field
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-solid interface. To connect materials to devices, you will prototype booster-bed reactors from mL to L scale by 3D printing and support the transfer of promising formulations toward scalable, solvent-free
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the University of Oxford and the University of Cape Town. The programme integrates AI-driven image analysis with molecular and clinical data to identify novel disease-associated features and translate them
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take approaches combining mouse developmental genetics, cell-type-specific viral tracing, ex vivo electrophysiology, opto/chemogenetics, in vivo imaging, single-nucleus RNA sequencing (snRNA-seq), and
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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 22 days ago
toxicity associated with dinoflagellate blooms through the exploration of a novel paradigm, emphasizing chemical interactions within the marine microbial sphere as the primary driver. The first objective of
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highly motivated and talented Postdoctoral Researcherto work full-time in the field of medical physics and engineering, particularly on low field magnetic resonance imaging (MRI). The position is within
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sensing, including Ultrasound and Hyperspectral Imaging (HSI), Artificial Intelligence (AI) and Tiny Machine Learning (TinyML). Duties As a Postdoctoral researcher you are expected to perform both
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Intelligence in Medical Imaging This project develops a European infrastructure supporting the secure use of artificial intelligence for cancer research. Responsibilities Virtual Human Twins (VHT) You will
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advancing new molecular imaging and therapeutic agents from bench discovery toward preclinical and clinical application. The laboratory is focused on novel agent development, in vitro and in vivo development
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. Demonstrated expertise in integrative or cardiovascular physiology techniques (for example, cardiopulmonary exercise testing, or haemodynamic, vascular, autonomic or cardiac imaging assessments) in human
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data