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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
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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
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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
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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
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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
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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
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/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
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modelling and infectious disease dynamics Experience working in interdisciplinary teams Proven skills in statistical analysis and mathematical modelling tools Excellent knowledge of programming languages
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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
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professorships, and a large group of data scientists at the statistics department contribute to the growing group of Big Data researchers. In this stimulating and well-equipped environment, this position plays a