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, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the opportunity
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Qualifications: Extensive experience in neuropsychological report writing. Relevant coursework in neuroanatomy, neuropsychology, psychometric theory, statistics Demonstration of scholarship in neuropsychology
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the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
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(renewable, contingent on performance and funding) will work under the mentorship of Dr. Fei Ye on to conduct quantitative research on development and application of statistical/bioinformatic methodology
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We are delighted to announce the availability of an exciting position for an early career researcher with expertise in marine ecology and statistical analysis to contribute to our research
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collaboration with Dr. Suthana and interdisciplinary team members. · Apply advanced statistical and computational approaches to investigate neural dynamics underlying memory consolidation and navigation
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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with a focus on research in Sociology, Economics, Social Work, Social Policy, Social Statistics, or a related discipline. They should have a strong background in robust and innovative social science
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Qualifications: Extensive experience in neuropsychological report writing. Relevant coursework in neuroanatomy, neuropsychology, psychometric theory, statistics Demonstration of scholarship in neuropsychology