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with Long COVID and similar conditions (PEDNET-LC). The PEDNET-LC project (https://pednet-lc.de/ ) is a nationwide consortium of 65 hospitals and research institutes focused on improving diagnostic
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development opportunities In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits To apply, please submit a complete CV including a publication list
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machine learning-based model to map satellite retrievals to ground based air pollutant concentrations Conducting error assessment on the derived concentration data Implementing new observational data
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stakeholders Science communication University self-governance Where to apply Website https://stellenboerse.uni-mainz.de/jgu/job/56502 Requirements Research FieldReligious sciences » OtherEducation LevelMaster
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, and related fields (e.g., Graph Machine Learning) Tasks: scientific research in at least one of the above-mentioned research areas collaboration in national and international research projects, possibly
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, Germany. The postdoctoral researcher will play a central role in designing and conducting behavioral and neuroimaging studies aimed at testing the EESR theory of learning-related plastic brain changes. Key
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between metacognitive ability and learning, in the motor domain. (More information about the project is available under https://metamotorlab.filevich.com ). Therefore the Institute is hiring a student
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the compulsory curriculum as well as in specialisation area 7, “German and International Tax Law.” Experience in acquiring third-party funding is required. The ability to teach undergraduate courses in German is
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and feel a sense of belonging. We welcome
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy