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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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-vitro digestion models, proteomic analysis tools and gut co-culture models are desirable. Knowledge of standard statistical methods is required. You are careful, conscientious, and well organized in
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STATEC Research is looking for a POST-DOC Researcher with experience in productivity analysis to join the research department of the Statistical Office of Luxembourg (STATEC). This is a full-time
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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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; Luxembourg Institute of Science and Technology | Southampton, England | United Kingdom | about 11 hours ago
. Being self-motivated and enthusiastic about AI for healthcare. Have a good first degree in computer science, biomedical engineering, applied statistics/mathematics, or any-related field. Strong problem
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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