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is the necessity of training a new generation of researchers, possessing a full mastery of the mathematical tools that are needed for modelling and statistically analysing data structures displaying
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order to better understand, explain and advance society and environment we live in. The position is funded by the ERA Chair SanDAL in Mathematical Statistics and Data Science (https://sandal.uni.lu/ ).
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consortium & other researchers; Interpret findings statistically; Participate in project meetings & organization; Give presentations at local institute level and conferences. Key Skills, Experience and
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fundamental and applied topics (quantum science and technology, statistical physics and machine learning, chemical physics, soft and living matter, photovoltaics - sustainable energy, spectroscopy and
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preference survey design ; Good skills and experience in data analysis using statistical software ; Excellent communication and collaboration skills ; Fluency in English (speaking and writing), any other
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patents (if applicable); Contact details of 2 references. Application procedure and conditions: We kindly request applicants to provide their nationality for statistical purposes only, as part of our
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tools such as SEM, CLSM and AFM, Good understanding of in-vitro digestion models, proteomic analysis tools and gut co-culture models are desirable. Knowledge of standard statistical methods is required
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advanced statistical analyses on data emerging from ÉpStan (under supervision) Present research findings to other team members or researchers Contribute and support (on-going and future) research projects
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, statistics and visualization are considered as an advantage Excellent oral and written English skills Communication skills and talents in teamwork We offer... An innovative, dynamic, international working
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different scientific backgrounds. Strong statistical and computer skills including demonstrated proficiency with computer coding, such as MATLAB, R, python, and expertise in statistical modelling. Experience