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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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Research, University of Copenhagen, Denmark. Candidates should have a strong background in (genetic) epidemiology, bioinformatics, statistical genetics, data science, machine learning, or a closely related
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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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countries. The ranking is based on recognized EU data sources such as CORDIS and Erasmus+ as well as publication and citation statistics based on the Scopus database, and patent statistics from the European
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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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collection (e.g., conducting psychiatric interviews and administrating cognitive assessments) 3. Experience of recruiting participants 4. Able to use statistical packages such as SPSS, Stata, R Downloading a
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preferred candidate shall have background / experience in the following areas: Solid Mechanics Crystal Plasticity Fracture Mechanics Statistics Programming experience in languages such as Fortran or Python As