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, including practical experience in laboratory techniques such as cell culture, PCR, cloning, and western blotting. Basic proficiency in using office software and statistical analysis tools such as SPSS
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. The candidate must demonstrate analytical skills and documented competence to work with analysis programs, for example Nvivo. Prior knowledge of a statistical software is also an advantage. The applicant should
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also expected to acquire in-depth experience in the epidemiological methods applied, statistical computation and statistical software packages such as R and Stata in processing of data; further
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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
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health, or public health in general A good knowledge in statistical methodology. Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4 years full-time. Application
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: - a formal training in biostatistics and/or health economics - strong knowledge in health economic modelling - good knowledge in biostatistics/statistics - programming skills, preferably using R and
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the statistical programs Experience of monitoring, analysing, and reporting data health legislation Previous research experience in the laboratory Previous experience in systematic reviews Advanced master´s level