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Qualifications: MD or PhD in public health, epidemiology, statistics, biostatistics, math, or quantitative social sciences plus two years’ experience preferred. Experience with machine learning, data mining, and
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for doctoral programmes: any time Application deadline Consult the website: https://www.sgbm.uni-freiburg.de Tuition fees per semester in EUR Varied Combined Master's degree / PhD programme No Joint degree
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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researchers, postgraduate students, teachers and technical and administrative staff and we currently have about 150 PhD students. The Department is conducting undergraduate courses for medical, biomedical and
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Statistics to begin September 1, 2026. This is a two-year appointment for the 2026–27 and 2027–28 academic years. A PhD in statistics, biostatistics or data science in hand or imminent completion by September
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) - competitive salary Eligibility criteria - PhD in biology or ecology or biostatistics - track record of relevant publications in animal ecology and/or behavioural ecology and/or meta-analysis Selection process
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volunteers Performs other duties as needed Required Qualifications PhD degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field Preferred Qualifications
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presenting technical work at scientific conferences Required Qualifications: Required qualifications PhD in engineering, neuroscience, biostatistics, bioinformatics, computer science, or a related quantitative
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in psychology, genetics, statistics, biostatistics, health sciences, economics, sociology, education, or other relevant quantitative disciplines. To be employed as a PhD Research Fellow, admission to a
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considered, preference will be given to candidates who can contribute to teaching in areas of need to the department, including biostatistics, longitudinal data analysis, time series, experimental design