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practice. Key Responsibilities Conduct and support analytical studies involving risk, threat, and security data. Work independently and collaboratively with multidisciplinary teams of varying experience
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 23 days ago
closely related disciplines are also welcome Strong analytical and methodological skills (quantitative and/or qualitative) Excellent command of written and spoken English Ability to work in an international
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or architectural researcher with strong analytical skills and the ability to contribute independently to a major international project. Essential skills, knowledge and experience: Architectural practice experience
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, REddyProc) Excellent numeric and analytical problem-solving skills, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 10 days ago
of fish or insects, as well as analytical activities (sensory, physical-chemical/instrumental, biochemical, bioactivity and/or microbiological) of fishery, aquaculture or insect-based products
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data and/or a strong background conducting qualitative research, including experience with in-depth interviews, ethnographic observation and analytic software (such as MAXQDA, NVivoor Atlas.ti
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of microbiology (mycology), biochemistry, analytical chemistry, and multivariate data analysis, which will be combined with work on grapevine and innovative biological protection strategies. The program and the
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for a motivated researcher who wants to solve actual spatial, environmental, and socio-economic problems using modern data, analytical tools, and computing methods. We expect an active approach, a
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solutions in digital agriculture. Working closely with the Data Center Director and interdisciplinary teams, the Specialist will help manage infrastructure, develop analytics workflows, ensure data quality
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language; b) Strong knowledge in the application of statistical methods in analytical epidemiology, applied to cohort studies; c) Solid knowledge of Geographic Information Systems (GIS), applied