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sequencing, bioinformatics, fieldwork, and statistical analysis. Health and performance decline with age in humans and other animals, but the consequences for offspring of older parents remain unclear. Since
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, theories, and methods related to the involvement of thalamocortical networks in language and memory, as well as in behavioral and MRI methods, and statistics. Also, s/he will have the opportunity to actively
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 24 days ago
epidemiology, medical statistics or a related discipline. Be proficient at using epidemiological and statistical techniques with a solid understanding of research study design. Have excellent oral and written
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problems) and qualitative (structure of level sets) questions in spectral geometry. Our Community You will be joining an outstanding, impactful department of mathematics and statistics. 98% of our research
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, Medicine, Global Health, Respiratory Medicine). Strong background in epidemiology, clinical research, or biomedical sciences. Proficiency with data analysis and statistical software (e.g., R, SPSS, Stata
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familiarity with data management techniques and statistical analysis in economics. Where to apply Website https://convocatorias.rrhh.uclm.es/convocatorias.aspx?c=15501 Requirements Research
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patient care, and the project will provide the student with a valuable skillset in interdisciplinary research, encompassing bioinformatics, (meta)genomics and statistics with clinical relevance
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. Keywords: Advanced statistics, data management, data collection and analysis Candidate profile Candidate has graduated the first two University educational cycles, bachelor, and master and is enlisted in a
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experience in the use of mass spectrometry • Good working knowledge in the application of statistical analysis procedures • Sound knowledge of ecological and evolutionary concepts • Basic knowledge in the use
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; biogeochemistry and fisheries modelling). The PhD candidate will acquire and/or strengthen their understanding of interdisciplinary working, modelling and statistics applied to economics, trade-off analysis skills