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Field
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processing techniques, supported by artificial intelligence and machine learning algorithms, to streamline the interpretation of spectroscopic data. The research will be carried out in close collaboration
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manufacturing (AM). This PhD/Post-doc focuses on enhancing the capabilities of XCT (X-ray Computed Tomography) technique by applying artificial intelligence to the reconstruction of the volumes, noise reduction
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Institute for Research in Biomedicine, Università della Svizzera italiana | Switzerland, | Switzerland | 3 days ago
of Como and Milano. Although located in the Italian part of Switzerland, English is the main working language. Artificial Intelligence applied to antibody discovery The Computational Structural Biology
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Specific Requirements We are looking for an enthusiastic new colleague who meets several or all of the following criteria: You have a PhD in a computational field such as Artificial Intelligence
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to advancing scientific knowledge and innovation in ecoacoustics and artificial intelligence. The post holder will be part of the Leverhulme Centre for Nature Recovery, where their advances in ecoacoustic AI
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- Research experience in the petroleum area - Full-time availability to start immediately Benefits and Opportunities to: - Work on a fully integrated project with artificial intelligence, geology, geophysics
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of Big Data and Artificial Intelligence in the field of climate risk assessment and multi-hazar risk assessment. Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills
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should have a PhD degree or equivalent and should have a strong background in coding and AI approaches. Degree in computational science, neuroscience or related fields is preferable. Familiarity with brain
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(CHIL). CHIL brings together academia, the NHS, local government, charities, and industry to develop new models for progressive data use and responsible artificial intelligence You will work with linked
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contributing towards a new approach to fusion bonding, combining process and performance optimization by simulations of physical phenomena and process monitoring using artificial intelligence. This postdoc will