-
epidemiology, (bio)statistics or a comparable discipline, (2) the ability to work in an interdisciplinary manner with physicians and life scientists, and (3) knowledge of epidemiological methodology and
-
to the mapping of statistical data sources suitable for analyzing intersectional identities (of race, ethnicity, immigrant background, religion, gender and social position) and their role in labour market
-
interdisciplinary teams Proven skills in statistical analysis and mathematical modelling tools Excellent knowledge of programming languages such as R, Python, etc. Familiarity with AI algorithms and machine learning
-
/or R). - Hydrological and/or hydraulic modelling, including rivers and/or estuaries. - Statistical analysis. - Analysis of environmental time series data. - Geographic Information Systems (e.g., ArcGIS
-
modelling and infectious disease dynamics Experience working in interdisciplinary teams Proven skills in statistical analysis and mathematical modelling tools Excellent knowledge of programming languages
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Europe | 2 months ago
We require: · PhD in computer science and/or related areas (applied mathematics, statistics, physics, etc), · experience of quantum algorithm development in language Python, · experience with gate
-
in tissues, laser speckle statistics. Optical instrumentation. Neuroimaging and/or neuromonitoring. Software such as Matlab, R and Python. LanguagesENGLISHLevelExcellent Additional Information Benefits