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Field
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Science and Social Anthropology. This should aid doctoral researchers in reflecting on the historical conditionality and the constructivist character of theories and the interdependence of theoretical and
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Your Job: Design and development of an in-house X-ray beamline for long term operando investigation of chemical hydrogen storage reactors Unravelling of relationships between catalyst structure and
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design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and resource-efficiency requirements. This collaborative doctoral project brings together
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-based metadata platform that you will help develop. In collaboration with stakeholders from energy research, you will develop methods to increase data and software interoperability, enabling the automated
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
the physical and biogeochemical processes in the subsurface of high-energy beaches, also referred to as the subterranean estuary. The specific goal of this PhD project is to investigate how
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structured training and supervision of more than 1,500 doctoral candidates in mathematics, natural and life sciences. Working on research projects towards their doctorate, the students are supported in
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | 2 months ago
) approaches, off-the-shelf solutions cannot be employed given the vast diversity of microbial communities and the limitations in the number of observations from remote deep-sea sites. In this project, you will
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surfaces for applications in catalysis and alternative energy. Project description We are currently seeking a research assistant to join our activities on elucidating the mechanism of CO₂ activation over
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Digital methods for inverse materials design are essential
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-based processing. This project will investigate event-driven learning approaches in the context of RL in an event-triggered fashion. Data efficiency will be improved by using meta-learning and pre