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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis
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of the principles and practices of mathematics and statistics Knowledge of research and analysis techniques and methods Knowledge of work-related subject area Knowledge of computers and software applications Ability
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Qualifications PhD in Mathematical Economics and Social Science Candidates should have experience in at least one of the following areas: Statistical programming and data analysis using R, Python, or Matlab
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of Mathematics. This position is intended to start September 16, 2026, and end June 15, 2027. The position is non-renewable. Application Process: Candidates are asked to apply online at https://www.mathjobs.org
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
Purpose of Organizational Unit The Department of Health Policy and Management (HPM) provides health services management and health policy analysis education at the certificate, undergraduate, residential
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field or specialty related to mathematics, statistics, data analysis, or cognitive science, research interests in the field of management and quality science, Interest in measurement, artificial
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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agriculture. 2. Research and collating data. 3. Performing mathematical and statistical analysis on the synthesized results. 4. Writing up the synthesized results into public-facing and scientific
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level 6 (such as a bachelor’s degree) in a relevant biological science subject or QCF level 2 passes (such as GCSE’s) in English and Mathematics and at least one Science subject and some relevant
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specific focus on financial markets and systems. Students will engage with predictive modeling, machine learning algorithms, and statistical analysis tailored for environments where data is continuously