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Field
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and revision Educational Requirements: Work requires a PhD (bio)statistics, econometrics, data science, or related field. Experience/Skills Required: A background in commonly used programming
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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or upon answering the questionnaire you may attach the documents. Qualifications Required Education Appropriate PhD in public health related field (e.g. health education, health services research, health
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PhD in Physics, or related areas (with a focus on quantum optics/AMO physics/QED). Preferred Qualifications Demonstrated experience with cavity QED, many-body atomic physics, atom arrays, driven
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or conferences. Minimum Qualifications Candidate must have a PhD completed in the field of neuroscience or neurophysiology before anticipated start date. Preferred Qualifications FLSA Exempt Full Time/Part Time
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University of Helsinki, Department of Mathematics and Statistics Position ID: 568 -POST_MATHPHY [#26742] Position Title: Position Type: Postdoctoral Position Location: Helsinki, Southern Finland
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analysis of data from a Nipah virus vaccine trial, using machine learning and statistical tools to identify immune response markers for future trials. You will be responsible for developing new and adapting
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Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based on autofluorescence (AF) imaging
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educators, to give young children a voice. About You You will have or be close to the completion of PhD/DPhil/DClin or other professional doctorate degree, together with relevant experience and sufficient
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mentoring of graduate students. The required qualifications are: PhD degree in Civil Engineering, Materials Science, Chemical Engineering, or related field Extensive research experience related to concrete