15 statistics positions at AcademicTransfer in Netherlands

Assistant Professor Methodology & Statistics

Assistant Professor Methodology & Statistics Assistant Professor Methodology & Statistics Published Deadline Location today 13 May Leiden Assistant Professor Methodology & Statistics The Faculty

Scientific Programmer / Research Assistant Neuroimaging

and Statistics unit at Leiden University, Institute of Psychology. The candidate will primarily be responsible for creating a user-friendly user interface for a newly developed statistical method

EngD on Software development for advanced synthetic microstructure generation

mimicking real materials will be generated, which will then be compared on a statistical basis with the real microstructures. Company sponsor In association with the Materials innovation institute M2i, Tata

Management-/Office Assistant

expertise in sensor technology, deep learning, spatial statistics, image understanding, monitoring and data integration, and modelling the spread and emergence of diseases at various scales. You can find out

Student Assistant for the Methods Desk Communication Science

interested in research methods and in supporting student research projects through methodological advice? Since 2014, the Communication Science Department has a Methods Desk where students can ask statistical

Professor Tax Data Science

underlying mathematics, statistics, and information science. Latest developments in relevant technologies and tools like (Big) Data Analytics, Data visualisation, Artificial Intelligence, Machine Learning

PhD Position In Algebraic Topological Methods For Dynamical Systems

in dynamical systems, topology, geometry and algebra, as well as in stochastic (statistics, data analytics, probability). Faculty of Science Researchers and students at VU Amsterdam’s Faculty

PhD Position in Machine Learning for Green Credit Scores

statistics & probability, linear algebra, calculus, optimization, and Markov decision processes. You have knowledge of financial engineering concepts such as credit risk assessment and mitigation, probability

PhD Position in Machine Learning for Digital Fincance

, Sklearn, Conda, Github, etc.). Experience with natural language processing, especially LLM is a plus; Strong mathematical background, in particular statistics & probability, linear algebra, calculus and

PhD position in Large Language Models for Knowledge Harvesting, Sharing, and Management

, and analytical skills. Strong interest and experience in conducting empirical research (e.g., user studies), knowledge in inferential statistics and qualitative methods (e.g., content analysis) and