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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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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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Organisation Job description Within the Department of Operations, a post-doc position is available on the topic of logistics for customization in secondary education with self-regulation. A paradigm
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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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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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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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information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The Amsterdam Machine Learning Lab (AMLab) conducts
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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
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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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component. Develop tools to measure success in organisational cybersecurity. Validate and improve the developed tools after testing them in lab or field settings. Work with our partners in industry