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progression modelling and AI, that sits within the UCL Hawkes Institute — a leading hub of medical image computing and interventional science involving well over 100 scientists and academics. About the role
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) Samples of Practice-Based Creative or Scholarly work in the area of critical digital studies (strongly encouraged). Samples may include a PDF of 5-10 images, a link to 3-5 minutes of video (include time
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will integrate real-time or periodic measurements from various cell culture assays (e.g., metabolic, imaging, 'omics data) to create predictive, digital twins of the bioreactor system. 2) Problem Solving
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to contribute to the development and validation of data processing tools and to ensure an operational role for members of the scientific team in the programming of scientific observations. An accurate
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communication skills are also required. Desirable attributes include experience with PCM systems, bioenergy, IoT-based control, model predictive control, digital-twin development, prototype commissioning
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. This position plays a critical role in ensuring seamless technology operation during instructional activities, managing recordings of educational content, and supporting innovative learning experiences. Working
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advantage Experience in radar image processing, classification, multi-temporal analysis, and data fusion, using advanced automatic analysis methods such as deep neural networks and artificial intelligence is
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experimental and theoritical topics related to space remote sensing (such as hyperspectral imaging, surface polarimetry, full Stokes vector analysis,…) applied to earth observation and well as planetary
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include the use of GIS software products, digital image manipulation, database management. Proficiency in writing as it relates to grants, technical documentation and outreach materials. Must be able
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darkroom processes, large format photography, and color digital photographic production. The successful candidate will have the ability to teach a strong foundation in perceptual, formal, and critical skills