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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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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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. Experience in working on large datasets. Good statistical knowledge. Experience in scientific writing. Good organisational skills. Excellent planning and communication skills, ability to work in complex, multi
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Conduct studies analysing national cancer cohorts and related health indicators. Perform statistical analyses, contribute to publications, and present results at conferences. Assist in drafting and
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components What we expect from you… Master in Social Sciences or related field Methodological skills and statistical training Fluency in English and French speaking skills Strong ability to work both
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Fiber optics / photonics / optoelectronics Statistical signal processing Physical layer security Machine learning and artificial intelligence applied to quantum communications. The position holder will be
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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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details of 2 references. Selection process Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment
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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