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data analysis using statistical software 4. Experience of recruiting participants from SLaM/NHS community teams, C4C, or IAPTs 5. Demonstrate flair, enthusiasm, innovation and leadership when faced
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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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with a range of multi-omics data types and associated bioinformatic algorithms/statistics. Familiarity with methods for computational modeling of metabolism (constraint-based, kinetic modeling, etc
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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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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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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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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
experience in field, database and GIS work on biodiversity and ecosystem processes, such as ecohydrology, nutrient dynamics and carbon pools, as well as statistical modelling will be considered assets.Fluency
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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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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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(including database and statistics) 8. Experience with clinical research and understanding of research methodology 9. Experience with data analysis 10. Good interpersonal skills to develop and