36 Statistics "University of California, Santa Barbara" Postdoctoral positions in Denmark
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5639. Qualification requirements: Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. Your background is in statistics, computer science
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
on Bayesian statistics and apply them in several real-world settings of important clinical relevance. The postdoc will be responsible for developing the area with a group consisting of a PhD student, a data
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University, a leading international research group investigating psychiatric epidemiology and statistical genetics. The Centre has a strong track record in collaboration with other Danish researchers and with
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mitigation strategies. Tasks and responsibilities: Using statistical signal processing methodology to develop methods of fault detection for snifferes measurement system. Develop methods of noise filtering
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parameters. The model is used for condition monitoring and fault detection using methods focusing on statistical methods using residual generation and Kalman filtering. Qualifications: Phd and master's degree
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assignments. We are seeking candidates proficient in applied statistics, data management, and experienced in SAS and R programming. As part of this position, you will collaborate with researchers from
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to the continuous development of the Gaussian-Linear Hidden Markov Model ( GLHMM ) toolbox. In this role, you will be responsible for applying and validating statistical testing methodologies using datasets obtained
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of survey research, from planning and ethics approval, through pilot work and data collection, to statistical data analysis and write-up. Qualitative research skills and experience are an advantage but not
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calcium imaging. You will play a key role in establishing the behavioral assays, as well as data and statistical analysis and will have a large degree of freedom in shaping the project, based on your
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genetics, animal breeding, statistics, or a related field. Proficiency in statistical analysis of genetic data related to insect breeding and experience in developing insect breeding strategy. Experience