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the laboratory of Professor Adil Harroud, the Research Associate will lead the statistical genetics and bioinformatics analyses of large-scale genetic, proteomic and clinical datasets in multiple sclerosis and
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://isor.univie.ac.at/ ) of the University of Vienna is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting on 01 March 2027. The group's research is focused on the current
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are being made with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without
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) sits within the SERP team and has no direct reports. Some key skills required: A PhD in a related discipline and/or relevant work experience High level skills in relevant statistical packages including
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interpret cancer genomic and associated clinical data using bioinformatics and statistical methods. • Perform data cleaning, quality control and integration, and maintain reproducible analysis scripts and
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Skills/Qualifications You have obtained a PhD in statistics (or equivalent) You have an academic reputation for internationally competitive research in biostatistics, particularly in clinical trials, and
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 13 hours ago
://www.mskcc.org/research-areas/labs/santosha-vardhana Key Requirements: Hold a Ph.D. in biostatistics, statistics, computer science, computational biology, or related quantitative discipline. Have published a 1st
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/apply.php?p=MTH-27-02 . JOB QUALIFICATIONS: Applicants with strong research potential in data science are encouraged to apply. A PhD in Statistics, Data Science, Mathematics, or Applied Mathematics is
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Qualifications: A PhD in chemistry or a closely related field. Preferred Qualifications: Experience lecturing and/or teaching in statistical mechanics and/or related chemistry discipline at the university level
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The MRC Biostatistics Unit is one of Europe's leading biostatistics research institutions. Our focus is to deliver new analytical and computational strategies based on sound statistical principles