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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
The Jena School for Microbial Communication (JSMC) is an ambitious Graduate School with over 130 doctoral and postdoctoral scientists. We offer structured, interdisciplinary PhD and career training
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Science. Explore new possibilities in the study of 2D and 3D magnetic microstructures using a mix of static and dynamic magnetometric methods, as well as advanced static and dynamic magneto-optical domain
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
pipeline, building on existing deep learning models in meteorology and climate science Your Profile PhD in computational science, mathematics, physics, or a related subject Experience with machine-learning
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analysis, and animal experiments is an advantage. The successful candidate will apply molecular and omics methods, including proteomics and ribosome profiling, to investigate how translational modulators
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enables the application of phase contrast methods with a spatial resolution below 50 nm. Join the Cluster of Excellence "BlueMat: Water-Driven Materials" (www.tuhh.de/bluemat ) and contribute to one
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the programme’s template Motivation letter Two letters of reference Transcript of records/courses taken during your studies Copy of PhD degree or proof of imminent completion The detailed descriptions
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: PhD in physics, laser technology, photonics, or related field Ph.D. completed within the last 5 years Strong track record in experimental high-power laser physics Experience with cryogenic lasers
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-average doctoral degree (PhD or equivalent) in management, organizational psychology, sociology, economics, business informatics, or a related field, • With a solid knowledge of empirical research methods
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in SOLVE, particularly in the Sub-Project HYDROCONNECT, where gravity-based terrestrial water storage observations will be integrated with isotopic tracer methods and geophysical monitoring, and
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, and unmodeled dynamics remains a key challenge. This position focuses on developing and validating methods that jointly address safety, performance, and reliability of learning-based control and