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Field
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Responsibilities: To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc. To produce research reports and/or
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CFD model of the proposed design, 3. Create a prototype and validate the CFD results, and 4. Optimize the solution initially developed, considering the requirements associated with maintenance and
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the WRF and/or ICON numerical models and with satellite or remote-sensing data (e.g., vegetation indices); (ii) with knowledge of land-surface modelling and model-coupling strategies; (iii) with a
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research projects focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and software analyses programs Foster research
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executive functions, including decision-making, attention and predictive coding. Key responsibilities will include: Research: Undertake human testing, conduct analyses of behavioural and brain imaging data
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without triggering autoimmunity. To address this, our research program heavily focuses on studying T and B cell population dynamics through intravital 2-photon imaging and the role of secreted immune
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transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable planet”. For section 2.2 Geophysical Imaging (department “Geophysics
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of building secure, reproducible workflows that make this process seamless for researchers and clinicians. You’ll also have a flair for coding in python and/or Laravel, problem-solving, with experience in web
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achieved: • Platform prototype, supporting fixed and mobile, public and private SmartObjects; • Exploration of various use cases; • Detailed documentation of the work carried out. . WORKPLACE AND SCIENTIFIC
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immunohistochemistry/microscopy experience (e.g. 3D immunostaining/clearing, 3D confocal/2-photon/light sheet microscopy) multi-omics (RNAseq, proteomics, metabolomics, coding) biomaterials and tissue engineering