-
quantitative statistical methods, using software such as R; A communicative, persistent and meticulous character; Excellent command of written and spoken English. Preferred Qualifications: Demonstrated affinity
-
1 year. The position can also be filled part-time. Job description: you will perform bioinformatical and statistical analysis of molecular profiling data including single cell and bulk NGS assays and
-
degree in health sciences, public health, epidemiology or similar; Experience with doing epidemiological analyses and publishing scientific articles; Skills in advanced quantitative statistical methods
-
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
-
designs PhD (or close to finish) in sociology, economics, statistics, psychology, educational science, or political science knowledge or interest in causal inference good command of academic English
-
statistical analyses with SPSS, STATA, R or MPLUS Capacity to present oral communications or posters at international scientific events. Capacity to work independently and as a member of a national and
-
/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
-
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
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Europe | 3 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
-
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