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Field
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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publication is advantageous. They should have a good command of written and spoken Chinese (fluency in Cantonese is required) and English, advanced knowledge and experience with statistical software (e.g., SPSS
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
and statistical evaluation # Enthusiasm for tackling demanding scientific questions and seeing them through # Strong communication skills and a collaborative mindset, both within the institute and with
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with Indigenous and/or rural communities. Experience in community engagement Knowledge and awareness of Indigenous and rural health and Indigenous health research ethics. Statistical analysis, geospatial
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analysis of non-invasive brain stimulation data. Proficiency in statistical analyses of multivariate data sets. About the Department To learn more about the Department of Neurology, please visit https
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led by three faculty members and three senior scientists. Job Description Primary Duties & Responsibilities: Information on being a postdoc at Washington University in St. Louis can be found at https
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statistical modeling and analysis of human performance data (reaction time, workload, situation awareness), including mixed-effects/multilevel models. Programming proficiency in Python, R, and/or MATLAB
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will be made for all categories of stakeholders to support the process of job matching Where to apply Website https://resurseumane.ase.ro/pnrr-cf_178-jobkg-a-knowledge-graph-of-the-romanian… Requirements
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have experience working with human subjects. Experience in multimodal data integration and statistical analysis is required. Experience with neuroimaging and/or other large-scale biomedical or behavioral
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have experience working with human subjects. Experience in multimodal data integration and statistical analysis is required. Experience with neuroimaging and/or other large-scale biomedical or behavioral