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PhD-level and masters-level statisticians, and doctoral students. The group is involved in a wide variety of research projects, including the development of statistical methods, population-based cohort
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launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS
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geneticists, psychologists, psychiatrists, and statisticians. The group is based at the Department of Medical Epidemiology and Biostatistics, where the the Phd student will also work. The doctoral student
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. The doctoral student project and the duties of the doctoral student This PhD project consists of both statistical methodology development and clinical application in the field of population-based cancer patient
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-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb This PhD program is part of
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functions. Other responsibilities include development of methodology and work routines, literature review, statistical analysis, adhering to the lab policies, assisting with administrative tasks and drafting
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-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb This PhD program is part of
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causes of psychiatric disorders. The doctoral student project and the duties of the doctoral student We offer an opportunity for a highly motivated and skilled PhD student to significantly contribute
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of the doctoral student The research project PhD students are expected to take a leading role in the entire research process under the guidance of their PhD supervisors. By participating in study design, data
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requirement for doctoral/third-cycle/PhD education if you: have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or have satisfied the requirements for courses comprising at least