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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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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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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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an advantage Commitment, team working, a critical mind, and motivation are skills that are more than welcome Optional: knowledge of machine learning, metaheuristics, statistics, and text analysis
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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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, 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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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