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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
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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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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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outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent
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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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, and to use of the most recent computational advances, such as Artificial Intelligence and Machine Learning (AI/ML). The Principal Research Scientist (Managing) will provide scientific and technical
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the Manchester BHF CRE: Geometric Deep Learning for Complex Manifolds: Novel deep learning theories, models and architectures to simulate interactions within non-Euclidean, patient-specific cardiovascular
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. Excellent written and verbal communication skills, with the ability to work effectively with diverse groups and provide high-level customer service. 3. Demonstrated proficiency with computer applications
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Apr-26 Location: Greenville, North Carolina Type: Full-time Categories: Academic/Faculty Computer/Information
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns