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Experience with deep learning for image analysis and/or medical image processing Knowledge of self-supervised learning, representation learning, and/or generative models Experience with multimodal machine
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this decision-making process, using a combination of in vivo voltage imaging, behavior, opto- and chemogenetic manipulation, and ex vivo patch-clamp electrophysiology. The candidate will train mice in various
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needs to be responsible for reporting progress and delivering outputs to the FAST centre. Duties of the PhD position 1 Study, prototype and validate extrusion processes mechanisms for improved accuracy
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image velocimetry, laser-Doppler anemometry, dynamic pressure measurements). Experience with Computer Aided Design (CAD). Personal characteristics To complete a doctoral degree (PhD), it is important that
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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). One has to have a holistic picture based on digital twins for involved processes. The digital twins shall become “eyes” to contemplate the situation from various perspectives and thus rapidly detect
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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imaging and microscopy-based analysis for drug response validation. Experience in mass spectrometry-based proteomics, transcriptomic and other omics-based workflows, including sample preparation, analysis
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have familiarity with super-resolution and high-content imaging and microscopy-based analysis for drug response validation. Experience in mass spectrometry-based proteomics, transcriptomic and other
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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Digitalization and artificial intelligence (AI