Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
at UNSW, provided no tertiary study was undertaken during this period. School of Mathematics and Statistics Indigenous Scholarship (UGCE1268) $5,000 per annum for the minimum duration of program Aboriginal
-
candidate, you hold an excellent or very good Master’s degree (or equivalent) in mathematics, engineering, statistics,physics or a related area, have strong interest and background in mathematical statistics
-
the discipline, demonstrated by a PhD (or nearing completion) or equivalent in Mathematics and Statistics, to develop teaching programmes, and teach and support learning; Please ensure you read the Job Description
-
interdisciplinary and combines mathematics and statistics with applications in medicine. A substantial part of the research will therefore be done in close collaboration with infection control practitioners
-
, mathematics and statistics, physics, we would like to hear from you. If your first language is not English, or you require a Student Visa to study, you will be required to provide evidence of your
-
24 May 2024 Job Information Organisation/Company Ghent University Research Field Computer science » Programming Computer science » Other Mathematics » Applied mathematics Mathematics » Statistics
-
, Computer Science, Applied Mathematics and Statistics, or a closely related field. Programming proficiency in at least one scientific language, preferably Python or Julia. Strong background in operational research
-
interdisciplinary and combines mathematics and statistics with applications in medicine. A substantial part of the research will therefore be done in close collaboration with infection control practitioners
-
or in a related quantitative field (e.g. Mathematics, Physics, Statistics), with documented experience in analysing, interpreting bulk and single-cell sequencing datasets. Prior experience with data
-
their performance. To achieve this, you will use your skills in advanced mathematical and statistical techniques. The project is situated in the context of efficient online learning, with a focus on scaling with