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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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: §48 VwGr. B1 lit. b (postdoc) Limited contract until: Job ID: 5171 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 days ago
Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art infrastruture and Core Facilities Recreation: 30 days annual leave, flexi days, plus
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at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology. Your tasks in detail: Develop and extend deep-learning–based segmentation, classification and
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at the intersection of robot learning, control, and AI for physical systems. The postdoc will work on projects focusing on one or more of the following: Robot Learning & Autonomy – Developing algorithms that allow
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with scientific institutes, industrial stakeholders and water organizations within the Netherlands and beyond. Where to apply Website https://www.academictransfer.com/en/jobs/357670/postdoc
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deadline Experience with urban acoustic monitoring or transportation noise assessment Programming skills in Python Knowledge of machine learning techniques applied to acoustic or environmental data
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effects. You will also have the opportunity to meet other KIRI postdocs, present your work at scientific events, and take part in KIRI activities. Read more about KIRI here: https://ki.se/en/research
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, the ideal postdoc candidate will also have research ideas related to these themes that they can lead to broaden the team’s research portfolio and produce independent publications. An ideal candidate would
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these postdoctoral positions are aimed for you! Subject description We are hiring 1-3 postdocs within the following projects: The first project, Dual Control at Scale: Learning-based control for systems