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models to collaborate, adapt, and forget outdated knowledge intelligently, and a DFG-funded project on distributed optimization and scalable training of deep neural networks, including transformer
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Financing yes Type of Position Full PhD Working Language English Required Degree Master Magister (Masters degree course) Areas of study Marketing, Distribution, Commercial Law, Economic Sciences, Economics
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-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based recommendations
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-treatment) has a significant effect on the microstructure (grain size, alloying elements distribution, crystallographic texture), mechanical properties (hardness, yield and tensile strength) and corrosion
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/ German Electron Synchrotron) and Scanning Kelvin Probe Force Microscopy (SKPFM) for visualising the distribution of cathodic phases in bulk and on plane, along with integral and localized electrochemical
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and forms of innovative activities Effects of Innovative Change: Allocative and distributive effects Political and institutional dimensions Dynamics and Patterns of Innovative Change: Economic and
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 4 days ago
stakeholders are a plus; A desire to expand competencies in the areas of statistics and methodology; Experience with project work in distributed teams is an advantage; Interest in behavioral economics and the
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of the Max Planck School of Cognition are distributed all over Germany in various locations (please consult our website) as well as in London (UK) and Nijmegen (Netherlands). Activate map To activate the map
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can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried out within the DFG Priority Programme “DaMic - Data-driven Alloy and