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ideas of the proposed dissertation topic: Biostatistical tools for the analysis of molecular genetic data are one of the most important indicators for determining specific genetic characteristics
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The following qualities are a definite plus: Publications in peer-reviewed journals Experience in methodological research in epidemiology and biostatistics We offer exciting research topics, a stimulating
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and local communities. Essential: Bachelor/MSc degree in Mathematics, Biostatistics, health informatics or any computational research degree The student should be proficient in one of the programming
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Degree or equivalent Skills/Qualifications - Masters degree in biostatistics, epidemiology, public health or equivalent with good knowledge in statistics - Experience in statistical analyses using R
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of four years of full-time doctoral education is required. The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within
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for a full-time doctoral student in the domain of statistics and infectious disease modeling. CenStat, builds on more than 30 years of top scientific research in mathematical statistics, biostatistics
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or equivalent Skills/Qualifications Masters in statistics or biostatistics or applied mathematics, At least level C in English, Good communication skills in English, Coding in R or/and Python, knowledge in
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group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups at KTH, at KI, and internationally within two EU projects and a new collaboration
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of four years of full-time doctoral education is required. The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within
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. Eligibility Candidates must hold an Upper Second Class (2.1) honours degree. Candidates will need an MSc in Statistics/Biostatistics or Epidemiology/Health Data Science (with a strong analytical component) plus