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within the role to pursue an independent research project in the general remit of gene expression and the lab. Candidates with interest or experience in machine learning, artificial intelligence and
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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from experimental systems biology assays (PMID:36217030 [Nature Biotechnology 2024 & 2023 [Journal Cover]), artificial intelligence (PMID:35411337 [Nature Machine Intelligence 2022]), genomics and
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erythematosus (CLE). The researcher will work to deliver a specific project to understand the biology of immune cells, especially T cells, in the skin of patients with (CLE) using single-cell transcriptomics
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together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI
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Duties The responsibilities may include some but not all of the responsibilities outlined below. Implement and test different Artificial Neural Network (ANN) architectures, such as convolutional and
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Solar Radiation Management (SRM) methods to artificially cool the Earth by reflecting more sunlight back into space, buying time for global decarbonisation. The main SRM methods are: 1) Stratosphere
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(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health