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motivation to gain experience in) quantitative methods and statistical analysis; excellent analytical proficiency and conceptual understanding; strong communication, presentation, collaboration, networking and
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knowledge of relevance to the area of research - Analytical skill - Other documented knowledge or experience that may be relevant to doctoral studies in the subject. All applicants will be informed when
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modeling, optimization, and/or data analytics. Description of the PhD topic (subproject C1 - New metrics for transportation system appraisal): Transportation systems must deliver “function” (i.e
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, educational psychology, behavioral science, artificial intelligence, or a related discipline; solid methodological and analytical skills, with experience in conducting qualitative and/or mixed methods research
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or computational neuroscience, artificial intelligence, psychology or a related field. strong programming skills. experience in experiments with human participants is preferred. good analytical skills and a positive
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machine learning journals and conferences Engaging with industry partners, government agencies, and academic experts Strong analytical, organizational, and communication skills Committed to mentoring and
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skills) *: PhD. Education/experience requirements*: PhD. Additional qualifying skills and abilities*: Strong analytical research skills to gather, document, and analyze information obtained through
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the design of innovative analytical and computational techniques to analyze,integrate and model multi modal data for the onset and progression of AMD. In doing so,the successful postdoctoral fellow will
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understanding of the process, statistics and data analytics shall be applied to link the different conditions to the likelihood of microcracks occurring. The severity of microcracks may also be studied in
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consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders. The candidate will be involved in various (inter-)national initiatives and engaged with different