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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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team meetings and oversee and train research assistants - Oversee regulatory activities such as IRB submission and reporting to funding organizations - Assist with data management - Analyze quantitative
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facilities and heritage railways. Responsibilities will include coordinating demonstration logistics, collecting and analysing experimental and operational data, evaluating machine performance, and preparing
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Position Details Position Information Announcement Number STAFF - VA - 26198 For questions regarding this position, please contact: Neil Cornish Regents Professor (406) 994-7986 ncornish@montana.edu
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) data across a number of different tumor types. The ultimate aim is to derive a number of lead compounds to take forward to advanced in vitro and in vivo studies. Working within a multidisciplinary
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cohort data to study why diagnoses are rising, who receives assessment and support, which supports work best for whom, and how support systems can become more equitable and inclusive. The postdoc position
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order to ensure continuous development of knowledge in the subject area. We offer a supportive research environment, where you can join external networks to share information and identify potential
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international, interdisciplinary team on the project “The proof is in the pancake: connecting fundamental physics to data-driven detection of the emergent state of sea ice in the changing polar oceans”, funded
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 5 days ago
, which could include Bayesian methodologies and use of artificial intelligence to systematically integrate available information for evolving benefit-risk assessment. The goal is to tackle the major