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Field
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team Sincere interest in analysis of large-scale data – we can provide guidance Your
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-reviewed publication Strong communication and scientific writing skills Preferred Qualifications Network analysis Machine learning or AI methods using biological data Cancer genomics Large-scale genomic data
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 17 days ago
functional theory (DFT), including the development and analysis of modern functionals # Solid background in electronic structure theory and quantum chemical methods # Extensive and specialized experience with
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to the four overarching project themes: 1) Literary Culture and Education; 2) Political and Religious Networks between East and West; 3) Material Culture, Migration and Non-Elite Bilingualisms; and 4
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create a four-part database, corresponding to the four overarching project themes: 1) Literary Culture and Education; 2) Political and Religious Networks between East and West; 3) Material Culture
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-scale data analysis. However, we also welcome qualitative or mixed-method approaches that can provide rich, contextualized insights into how AI technologies influence learning, cognition, and teaching
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes that focus
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes that focus
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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community consists of over 100 staff and 600 students. We carry out international, impact-oriented and interdisciplinary teaching and research of the highest quality through our strong network of partnerships