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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Computer Engineering or a related field completed within
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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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/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
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University of California, San Francisco | San Francisco, California | United States | about 13 hours ago
traditional inferential biostatistical approaches (e.g., regression analyses) and/or informatics-based machine learning approaches. Must be proficient in multiple programming languages, such as SQL, Python, R
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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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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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, access to the interdisciplinary PhD program of the Nencki Institute (Warsaw-4-PhD), administrative support as well as friendly and inclusive working environments. Successful candidates are expected
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interdisciplinary areas. Research fields of particular interest include, but not limited to: - biomedical science and engineering - veterinary science - computer science and data science - neuroscience and neural
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) deliver evidence-based neurorehabilitation interventions during these windows. The individual selected for this position will contribute to multiple projects carried out in the lab, including an NIH-funded
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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