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Field
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social, ecological and technological system (SETS) elements that make up the urban metabolism of the PoA. The research will be carried out in co-development with stakeholders in the port area. It will
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for an independent post-doc, with multi-stakeholder project experience, to develop state-of-the-art, transdisciplinary, inclusive design frameworks, and support in daily management of a large multistakeholder research
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ecosystems. The parthenogenesis project is embedded in Marian Bemer’s group, which focuses on unravelling and comparing transcription factor networks in different species. Your qualities You have a PhD degree
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candidate would have a strong experimental background, and an interest in interdisciplinary work. Join our team! The position is a 14 month post-doc, working in the lab of Emily Burdfield-Steel, and in
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artificial structures with tailored electronic properties [8]. Relevant references: [1] Kamber et al., Science 368, eaay6757 (2020), Self-induced spin glass state in elemental and crystalline neodymium. [2
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, chemistry, computational science, or a related field. Strong expertise in at least two of the following: density functional theory (DFT)/many-body methods, molecular dynamics (MD), machine learning (ML
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supportive atmosphere with regular meetings, seminars and social activities. We’re confident you’ll soon feel at home with peers who are just as passionate as you are about (metal) enzymes. Job requirements
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work. Join our team! The position is a 14 month post-doc, working in the lab of Emily Burdfield-Steel, and in collaboration with Johanna Mappes at the University of Helsinki. The role will involve
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postdoctoral researcher, you will be part of the computational component of the project. You will collaborate closely with the principal investigator, two PhD candidates (working in psycholinguistics and
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complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The research of the Information Retrieval