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based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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—for bacterial control and therapeutic application. Together, we identify functional prophage genes, develop genetic tools, and test engineered phages in infection models. Your tasks Plan and perform in vitro and
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independent researcher embedded within the CRC, you will shape how the global community evaluates and compares brain-inspired and AI-based vision models. Your Role Develop next-generation benchmarks and
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Registry (SCNIR), enabling clinically driven translational research. We employ state-of-the-art experimental models to study the pathomechanism of severe congenital neutropenia and Shwachman-Diamond Syndrome
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for astrobiology and astrochemistry. Your profile A qualified candidate will have a PhD in electrical engineering, physics, or a related field, as well as expertise in one or more of the following: nanofabrication
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with data-based models and numerical dynamo simulations. The successful candidate will contribute to studies of time-averaged geomagnetic field morphologies and core dynamics during transitional events
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, vibrant, and collaborative research environment. In a multidisciplinary effort, the Sander lab combines single-cell genomics, human stem cell models, and bioengineering approaches to investigate
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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(f, m, d) starting as soon as possible. The salary is based on TV-L E13 (full position, currently 39.8 hours/week). The position is funded by the German Federal Ministry of Research, Technology and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
"Glacier Geophysics" (d/f/m) Background This position is part of the European Research Council (ERC) Starting Grant (project n. 101076793) PHAST: "A physics-based study of Ice Stream Dynamics" led by Prof