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implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning. The role involves
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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: 30.09.2028 Reference no.: 4589 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far
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causal modelling. Provide methodological and analytical support to projects aimed at personalised and predictive medicine. Application of artificial intelligence: Provide support in AI and machine learning
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. Meanwhile, our Master’s and PhD programs continue to expand, introducing new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction. Why Join MBZUAI? Top-Tier
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of computational tools including Artificial Intelligence (AI) and Machine Learning (ML) in virtual screening, small molecule design and optimization is preferred. Set up the chemistry strategy for projects and
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins
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machine learning, deep learning for medical imaging, generative AI and more. The positions are open to both those who are specialized in methodological development, as well as those focused on innovative
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maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced data science
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug