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non-tenure-track Research Assistant Professor in Machine Learning and AI for Brain Mapping. The position is one of four in a coordinated cluster hire - alongside colleagues in behavioral neuroscience
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design of research and creative projects. Assists in short- and long-term planning and project goals. May assist with research and creative proposals and dissemination of project findings. Additional
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characterization. Collaborates with internal research groups, external academic partners, and industry stakeholders. Ensures compliance with institutional, laboratory, sponsor, and regulatory requirements. Assists
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? As a machine learning researcher, you will initiate and work on innovative data-driven solutions in the bioeconomy and food domains. One example is improving fermentation screening for plant‑based
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and machine learning methodology to help deal with key challenges in developing such models in large-scale observational electronic healthcare record data. These models will be applied to important real
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Department: School of Early Childhood Studies Position supervisor: Thursica Kovinthan Levi Contract length: 12 weeks Hours of work per week: 10 hrs/week Position type: OPSEU Research Assistant Rate
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staff position within a Research Infrastructure? No Offer Description How can institutions learn to govern technologies whose capabilities, risks and societal effects are still emerging? REGULAIRE offers
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learning methods for medical image analysis, with a particular focus in anomaly detection and unsupervised learning. In this position, you will have the chance to explore basic machine learning research as
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should be able to carry out research tasks independently yet collaborate effectively with other research investigators. Research Assistant Professor Completion of two or more years of postdoctoral
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will do Interpretable machine learning is a growing research area, with important applications in the biological sciences, such as understanding how different genes regulate each other within biological