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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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to work on Liaise with co-I from NetaTech and Tohoku University to apply the in-house developed light conversion film on the architectural design and system used for the UmFm. Taking care of the day to day
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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informatics and precision medicine. These investments are exemplified by BioVU, a biobank of genetic material containing over 285k patient samples, and Vanderbilt’s lead role in the President’s Precision
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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be appointed for more than one PhD Research Fellowship period at the University of Oslo. Job description This position is funded by the Department of Informatics and will be part of the collaboration
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cognitive architecture (ETCs). This involves exploring a potential continuum of cognition, from basal organisms to complex animal societies, and extracting general principles, by comparing cases
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Sciences), Emer. Prof. Griffiths (Philosophy) and collaborators to develop a unifying framework between evolutionary transitions in individuality (ETIs) and major transitions in cognitive architecture (ETCs
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Citizenship Canadian Permanent Resident International Degree Level Doctoral The Google PhD Fellowship Program was created to recognize outstanding PhD graduate students doing exceptional work in computer
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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing