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and MSc degree or an equivalent in biology, immunology, molecular biology, biochemistry, or related fields and to have achieved an overall average of greater than 80%. This is a minimum entry
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Master’s degree in biotechnology, bioengineering, bioeconomy cell biology, molecular biology, or a comparable field of study, preferably with a background in life cycle assessment (LCA) and techno-economic
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the comprehensive field of Earth System Modelling, with emphasis on the interactions between the natural and the human systems. The scientific subject is the development, application and evaluation of a hierarchy of
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experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand
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transformation." The project will investigate the relationship between road safety and safety culture. A theory-based model of road safety culture will be developed and validated through surveys in various
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Signals in Cancer” (Head: Prof. Dr. med. Jürgen Ruland) is to (i) explore the molecular mechanisms and pathways that drive immune dysfunction and immunotherapy resistance, (ii) modulate cancer
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life balance we offer flexible working hours, variable part-time, job-sharing models and participation in mobile work (up to 50%). You will benefit from our family-friendly and collegial atmosphere, our
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pair distribution function (PDF) data for structure refinement and modelling of heterogeneous catalysts Publication of results in peer-reviewed scientific journals and presentation at conferences Your
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Scrum) and modeling of system structures and behavior. Experience with common software development tools, for example Git, IDEs, CI/CD and issue tracking. We offer: A family-friendly and collegial working
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
an international team of researchers applying advanced quantitative methods and statistical modelling to a cutting-edge population topic. Students with an excellent master’s degree (distinction