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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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professionals in genetic epidemiology and computational genomics, you will contribute to groundbreaking research that can revolutionize patient outcomes globally. Pay Range: $72,000 – $87,641 Physician
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processes and artificial intelligence and machine learning methods. The goal of Geophysicist.AI is to develop a scalable artificial intelligence ecosystem that integrates large language and physics-informed
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qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering. Hardware design in a hardware description language such as Chisel, VDHL, or Verilog
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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) Sydney, in partnership with ANSTO (Australia), Imperial College London (UK), and Tokamak Energy (UK), is launching a groundbreaking research program focused on developing new materials for compact tokamak
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at the earliest date possible. Job Description: Innovative cultivation and extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational
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extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration