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one year. After positive evaluation, the scholarship will be extended for three more years. Eligibility criteria You hold a master degree (120 ECTS) in statistics, mathematics, physics, engineering, or
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, nutrition, or a related field, with a proven track record of excellence.• You possess a profound interest in metabolomics and statistical analysis of multi-omic data.• You have proven expertise in
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activity measures, self-reports, questionnaires and peripheral psychophysiological responses (e.g., breathing patterns). Apart from the acquisition and statistical analysis of the data, the PhD student will
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of experience in III-V semiconductor lasers processing or integration. You are experienced in DOE and statistical analysis. Experience with silicon photonics is a plus. You are an enthusiastic team player, yet
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by the faculty and the university. The assignment of the candidate to be appointed includes teaching in financial mathematics, stochastics, statistics or mathematics, in the study programmes where
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Mathematics » Geometry Mathematics » Mathematical analysis Mathematics » Mathematical logic Mathematics » Number theory Mathematics » Probability theory Mathematics » Statistics Mathematics » Other Researcher
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outcome measures will include exercise tests, self-reports, questionnaires and peripheral psychophysiological responses (e.g., breathing patterns). Apart from the acquisition and statistical analysis
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minimal supervisionIf you have experience in working with viral vectors, that’s a plus. And we’d like you to• easily understand (statistical) data analysis and quality management• work detail-oriented
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academic and/or professional experience in post processing results, in terms of signal processing and statistical exploitation The applicant shall have academic and/or professional experience in documenting
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Previous experience in programming in R, Python or similar. Previous experience in advanced statistics, e.g. generalized linear mixed models, and/or big data processing. Personal characteristics In