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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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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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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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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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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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to the preparation of new research proposals to attract industrial, national, and European projects and to the day-to-day supervision of PhD students. Your Profile... Qualification: The candidates are required to be
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, metaproteomics, metametabolomics, is considered an asset Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure What we expect from you… A PhD in Biomedical Sciences, Biochemistry