1,364 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Nature Careers
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Department of Mathematical Modeling and Machine Learning (DM3L) Assistant Professorship tenure track for Mathematics for Responsible AI 100-100% We are seeking candidates in the field of Mathematics
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collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment-associated alterations in
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or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell
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and inclusive community in the practice and teaching of science. Successful candidates will be expected to establish a vibrant research program, teach graduate and undergraduate courses, and participate
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. Antonio Scialdone’s group at Helmholtz Munich, a leading European hub for AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models
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hypotheses. Develop, refine, and benchmark computational pipelines using statistical modeling, machine learning, and deep learning approaches. Conduct analytical validation studies including precision
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computational pipelines for multiplex imaging, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune
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to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together
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for experimentation, yet they remain difficult to deploy directly onboard robots due to hardware availability, latency, sampling cost, and noise. Previous work on quantum machine learning (QML) emphasize
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, including approaches that produce “black box” data that might only be actionable in conjunction with AI and machine learning methods. Experimental technologies could cover (but are not limited to) single-cell