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linking the farm-level bio-economic model MODAM with macroeconomic Computable General Equilibrium (CGE) modeling approaches. We are offering a temporary part-time position (65% of regular weekly working
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materials, new processes and optimised components. Our work is interdisciplinary, international and practical. The scientific questions in our institute range from the production of materials, such as powder
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at the University of Freiburg and the Karlsruhe Institute of Technology. Each doctoral position lasts 48 months and culminates in the award of a doctoral degree. The positions in Germany are part of a wider European
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the mechanical behavior of interfaces through local micro-shear testing. Your role As part of the Thermo-Chemomechanics and Interfaces Group, your key responsibilities will include: Advanced micro-/nano
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seeking to fill the following position Research Scientist (m/f/d) for Long-Term Benthic Dynamics (Tenure Track / full time – part time: minimum 80%) at the department Marine Research as per 01 Dezember
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well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly encouraged (e.g. South
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biogeochemistry should be broadly conceived: Deciphering benthic biogeochemical processes and element cycles on a regional and global scale, also using isotope systems Quantifying biogeochemical element cycles and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
with strong quantitative components to estimate population and/or mortality profiles is also essential. Further particulars are included in the job description. The post is full-time 35 hours per week
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for a PhD Position (m/f/x) with 30h/week. Responsibilities: Neutrons make up 50% of matter on earth, but remain one of its most mysterious components: their decay lifetime is less well-known than the age
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scalable database of sensor and process data is being created, which serves as the basis for ML models for component segmentation, strategic path planning and process optimisation. The aim is to enable data