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Field
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The successful candidate has a PhD degree in (Historical) Demography or a related discipline (sociology, geography, economics). Expertise with register data, statistical methods of analysis, and GIS are required
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sciences in our research. Qualifications The successful candidate has a PhD degree in (Historical) Demography or a related discipline (sociology, geography, economics). Expertise with register data
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disciplines and societal stakeholders. The challenge Design and implement training programs for PhD candidates and consortium members in interdisciplinary and transdisciplinary research methods; Develop and
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together with an expanding team of 5 PhD candidates and an experienced postdoc. The core objective of this project is to pioneer the conversion of polyolefins into essential chemical building blocks like
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profile: A PhD in AI, preferably at the interface of information retrieval and machine learning; Research background in generative information retrieval, with publications in the leading venues relevant
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, providing a chance to test your models in real-world scenarios. You will also have the chance to closely collaborate with a SmartEM PhD candidate.
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community). What we ask of you We are looking for enthusiastic and curious candidates who meet the following profile: A PhD in AI, preferably at the interface of information retrieval and machine learning
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the PI and an existing team composed of 1 Research coordinator and 3 PhDs. The postdoc will work in the Netherlands (Groningen) but might spend a brief amount of time in Spain for fieldwork (to collect
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for plastics using mechanochemistry. You will enter a relatively unexplored field of chemistry together with an expanding team of 5 PhD candidates and an experienced postdoc. The core objective of this project
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Your job We are looking for an enthusiastic Post-Doc candidate (or a candidate at the very end of the PhD trajectory) that will work on soil heath literacy and awareness, and help advancing