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datasets with machine learning methods, and software development are beneficial Good organisational skills and ability to work systematically, independently and collaboratively Effective communication skills
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of California (UC) and your union and finalized in a contract. Read your bargaining unit's employment contract, stay abreast of current negotiations and learn about collective bargaining at UC: https
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committees related to teaching, learning and technology. Programming that includes targeting the more than 12000 clinical faculty in the UBC Faculty of Medicine (https://www.med.ubc.ca/about/facts-figures
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positioning in responsible AI, Machine Learning and Data Science. The MEZCOPH is currently the only nationally accredited college of public health in the state of Arizona. The College and University have
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
-throughput screening; - Cell painting assays and high-content image-based analysis (e.g., CellProfiler, Harmony); - Machine learning models for antimicrobial activity prediction (e.g., Weka); - Strong
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and service; advance d knowledge and comfort level with various computer programs; working knowledge and experience with MS Word, Excel, PowerPoint, electronic e-m ail and calendaring systems
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graduate students. The Teaching Professor will also teach within the Cognitive Science Department, contributing to their existing curriculum in machine learning, data science, and computational modeling
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Posting Summary Logo Posting Number RTF00066PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is expected. Relevant work can lead to co-author publications and contributions to grant proposals. Tentative
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: familiarization with the workflow platform and machine learning concepts; development of web interfaces for data silo registration and federated training sessions monitoring; implementation of back-end components