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independent research that pushes the boundaries of science Strong English communication skills Additional skills that would be an advantage: Programming and data analysis experience Experience with working
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collection and analysis is considered an advantage. Experience with case study research, interviews, observations, document analysis, or process-oriented research designs will be particularly relevant. We
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skills (e.g., numerical methods, statistical analysis, coding, data management) Good communication skills Ability to work in a team Driving license category B desirable (access to field sites) Your Tasks
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Science grant. The candidate would join the “Project knockout” team and conduct laboratory testing of pain, reward, and stress in a newly discovered human genetic knockout model population. Data analysis
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be an advantage: Programming and data analysis experience Experience with working on high-performance computers What we offer: Research freedom: Develop your own ideas within the project’s broad scope
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research methods, data analysis, interpretation of complex datasets, translating research findings into actionable recommendations for technical and non-technical audiences. Skilled in academic, technical
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in finite-element analysis Experience in medical image analysis and data processing Basic knowledge of and/or experience in AI-driven models The ability to manage multiple tasks effectively Excellent
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in neuroimaging methods. You have experience with computational modelling and/or quantitative data analysis, preferably using tools such as Python, R, MATLAB or similar software. You have an affinity
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of materials collected in fieldwork, for acknowledgment of sources and collaborators. Provide necessary social and cultural contextualization of transcriptions/translation, and contribute to comparative analysis
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children’s books. Using narrative analysis, close reading and discourse analysis as its main methods, it seeks answers to the following research questions: How is friendship practiced in children’s literature