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motivated PhD student with a background in biostatistics, statistics, or mathematical statistics. The successful candidate is expected to take a leading role throughout the research project, with support from
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, bioinformatics, mathematical statistics, mathematics, computer science, physics or molecular biology (obtained latest October 1, 2024). The applicant must be fluent in English and be eager to work in a cross
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for a highly motivated PhD student with a background in mathematical statistics. The student will be jointly supervised by Dr Caroline Dietrich (Karolinska Institutet), Professor Ingrid Glimelius
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could lower the risk of future outcomes. The goal of this project is to apply multivariate statistics and quasi-causal designs to examine whether various interventions might be causally linked to lower
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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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degree/ master degree in statistics or biostatistics, or in Health Economics, and ideally previous experience in epidemiological research. Demonstrable advanced skills and expertise in R programming, STATA
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differences in occurrence, treatment, and care management of older adults with depression. You will be expected to contribute to study design, carry out statistical analyses, interpretation, and presentation
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: epidemiology, gerontology, genetics, bioinformatics, biostatistics, statistics, medical biotechnology, or a related discipline, and have a strong interest in aging and proteomics. The applicant must have at
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. It is also highly meritorious to have previous good knowledge of olfactory function testing within a clinical setting and documented good knowledge of inference statistics. It is meritorious to have an
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, statistical analysis, drafting scientific manuscripts and adhering to the lab manual routines. The main tasks of the student are to develop nanoparticles and nano-enabled formulations that can fight the