2,858 evolutionary-computation Postdoctoral positions in Ireland-University-Ranking-2024
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Description The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz) in the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated Post
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Jul-26 Location: Abu Dhabi Categories: Academic/Faculty Internal Number: 189065 The Laboratory for Computer-Human
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with public and private data sets (e.g., O*NET and Lightcast). A computer science background and the ability to build data pipelines are a plus, as well as fluency in modern AI tools. This position
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A Research Associate post is available at Lancaster to work on the upgrade of the ATLAS experiment at the CERN Large Hadron Collider. The post will focus on computing and software upgrade program of
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The Zhi Laboratory at Yale University (Department of Biomedical Informatics and Data Science) is seeking a highly motivated bioinformatician or computational biologist (Ph.D.) to join a method
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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Computing and Mathematical Sciences Division - Postdoctoral Researcher: CryoSTEM Foundation Models Mohamed bin Zayed University of Artificial Intelligence Location Abu Dhabi, UAE Open Date Jul 14
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to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist for methods development in
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, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning approaches 3. Apply