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Field
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program during the postdoctoral training. We are looking for an enthusiastic scientist with a desire to work on a challenging and rewarding project as part of a friendly and supportive team. Applicants with
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, or willingness to acquire these skills) and have experience in archival research and/or (2) experience in computational methods of text mining, analysis, and visualization (e.g. Python) or analysis of biodiversity
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 23 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc (f
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with regard to numerical simulation of the impact of detonation and deflagration events on infrastructure and modelling of structural behaviour under highly dynamic loads Provision of scientific and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the University of Greifswald’s Department of Political Science and
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assays using various approaches of computational biology. The data-driven approaches are further complemented through molecular biology methods such as gain- or loss-of function assays. Your tasks
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system) in computer science or another relevant discipline. A proven scientific focus on Artificial Intelligence (AI) & Machine Learning (ML). Experience with data analysis using ML or AI methods
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The Microbiome Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention
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) and related to the major multi-national initiative “GOE-DEEP” supported by the International Continental Scientific Drilling Program (ICDP) and aiming to study the climate at the time of the first rise
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well as data collected during the project. Experience in computational modelling is an asset. The activities of the research group are closely connected to the Tübingen Center for Digital Education (TüCeDE