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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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your PhD thesis Analyse comparative surveys in relation to inequality, mobility in relation with education Prepare and teach allotted course components (practicals, tutorials and pre-structured lectures
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. This successful candidate will be co-supervised by Claudine Backes , PhD, Scientific Director of the National Cancer Registry of Luxembourg and Allini Mafra , PhD, epidemiologist at the LIH. Key Accountabilities
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seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study
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the test creation, test oracle and test assessment topics) with supervisor Dr. Mike Papadakis. Successful PhD candidates will extensively explore and develop software engineering techniques that include
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patents, if applicable), Contact details of 2 references. Selection process Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as
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a bonus - particularly in yeast populations, but experience of studying populations in any species is good The more experience in programming and statistics, ideally in R, the better. However a
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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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? Apply now! You hold a PhD degree in Chemistry / Chemical Engineering, Polymer Science or a related field, and wish to carry out impactful, high quality experimental research in collaboration with a