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risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include
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simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical
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Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and Information , Data Visualization , Deep Learning , High dimensional Data
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machine learning and network biology. Background in cancer research. Pay Range: $62,232.00 - $81,000.00 To apply visit https://academicjobsonline.org/ajo/jobs/31509 and submit a cover letter, full CV, and
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tools in research. Excellent written and oral communication skills, with a proven track record of publishing scientific papers and delivering presentations. Experience with machine learning techniques
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or deadline for this position has passed and new applications are no longer accepted. *** Position Description Applications are invited for a postdoctoral fellowship at ENS Lyon in the field of machine learning
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: 281113699 Postdoctoral Research Associate D-25-ECE-00003 | Research | Electrical and Computer Engineering The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more
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). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis, computational social science, and/or machine learning applications. Acquisition, processing, and analysis
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and human disease, these groups provide research opportunities for undergraduates, medical and graduate students, and postdoctoral fellows. To learn more about this opportunity and to apply, visit https
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radiation beamline hands-on experience in X?ray microscopy techniques, X?ray diffraction or X?ray fluorescence working knowledge of image processing e.g. using machine learning German skills For further