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the data science and AI research capacity, through coordinating and developing research resources, translating cutting-edge methodology research into practical solutions that benefit multiple research
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towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd
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computational techniques. Engage with neural network generative models to explore new ways of enhancing system resilience across various domains. Stay abreast of the latest developments in resilience research
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Description This PhD project bridges computational neuroscience and machine learning to study the mechanisms of active forgetting—or unlearning—through the lens of both biological and artificial systems
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growing groups of computational neuroscientists and psychiatrists and will have opportunities to collaborate with basic and clinical scientists working in such areas as learning and plasticity, neural
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file named in the following format: LAST NAME of the candidate_Last Name of the supervisor_2023.pdf Description of the topic: Federated learning (FL) enables multiple stakeholders to collaboratively
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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the internal computations and circuits within large models. Can we reverse-engineer the "algorithms" that a neural network has learned? Value Alignment & AI Ethics: How do we formally define and embed complex
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/benefits-overview . Posting Summary Rutgers Biomedical and Health Sciences (RBHS), Center for Cell Signaling, and Rutgers New Jersey Medical School (NJMS) are jointly recruiting multiple junior to mid-level