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parameters set by the Senior Research Scientist. Works within guidelines to carry out assigned duties in the needs of a project, conducting specific modeling and analysis of data. Will not have any supervisory
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization
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, epidemiology, public health, and systems medicine within the framework of precision medicine. We expect the successful applicant to have experience of programming, data analysis, and data mining to identify
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, especially in the buildings sector You already have some experience in data analysis and programming with Python or a comparable programming language You are highly motivated and able to work independently and
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with transcriptomic and/or epigenomic data analysis Strong communication skills and ability to work in interdisciplinary teams Fluency in English, both written and spoken We expect interested and
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Assistant assists with experiments by assisting senior-level researchers in data collection and analysis, as well as multiple lab management tasks. They are expected to work somewhat independently, given
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the other activities within the GOSS group and more broadly within QDLight, notably to benefit from the theoretical expertise required for the data analysis. This work takes place within the GOSS group
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neuroimaging data; preprocessing and analysis of fMRI data; and the application of advanced methodologies (functional adaptation, multivariate signal analysis, and effective connectivity). The candidate will
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Research FieldBiological sciencesYears of Research Experience1 - 4 Research FieldChemistryYears of Research Experience1 - 4 Additional Information Website for additional job details https
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 18 days ago
written English communication skills He/she must have proven experience in statistical analysis, applied mathematics and probability, and data science, preferably applied to biological models (courses