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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 2 months ago
öffentlichen Dienstes, TVöD Bund), up to salary level 13. The place of employment will be Bremerhaven. All postdocs will register with AWI's postdoc office PROCEED and thus gain access to a set of tailor-made
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options for women: go.fzj.de/womens-job-journey **Place of Employment:**Jülich Start Date: Working Hours: 39 Hours / Week Salary: Pay group 13 TVöD-Bund Application Deadline: The position will be advertised
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Agreement and the respective personal qualifications. Working hours: Full-time (currently 39 h/week); The position is generally suitable for part-time work. Place of work: Potsdam Have we piqued your interest
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on diversity and equal opportunities: go.fzj.de/equality and on specific support options: go.fzj.de/womens-job-journey **Place of Employment:**Jülich Start Date: To the next possible date Working Hours: 39 Hours
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particular area, we place particular emphasis on counteracting this imbalance. If they have the same aptitude, qualifications and professional performance, we give priority to people with severe disabilities
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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functionalities. The prospects of porphyrin-based 1D, 2D, and 3D materials for device development will be assessed in collaboration with research partners from industry and academia. A key concept is to combine
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, CV, contact details of at least three referees and academic transcripts of records, preferably in English. Please indicate "Postdoctoral fellow novel optical technologies" in the subject line. For any
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep