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Description of the offer : We are looking for a postdoctoral researcher to join a project on reproducible magnetic domain wall motion in magnetic nanowires at Kiel University with immediate effect
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Python, for processing and interpreting complex proteomics data Familiarity with proteomics software for data analysis, visualization, and management Experience with biological samples (e.g., FFPE, plasma
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other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology
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bring to the table PhD in biotechnology, microbiology, molecular biology, or a related field Experience working with strict anaerobes, ideally with Clostridia Strong hands-on skills in molecular biology
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conducted at the existing GSI facility as part of FAIR Phase-0, using the Fragment Separator (FRS). Exotic isotopes are identified on an event-by-event basis and implanted into the core of the DESPEC array
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guidance and support for employees, doctoral candidates and students Your Profile: Master`s degree with subsequent PhD in theoretical physics or a similar field Background and strong interest in developing
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boundary at the mesopause allows conducting controlled experiments to delineate the effects of lower-atmospheric forcing. To achieve this, the successful candidate will set up TIE-GCM to be driven with
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transcriptomic and single-cell analysis of organoid models and patient biopsy samples. What you bring to the table PhD in biology, biochemistry, molecular biology, cell biology, immunology, or related discipline
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 30 days ago
develop state-of-the-art theoretical and computational methods to model strong light–matter coupling in and out of equilibrium, across gaseous, liquid, and solid-state systems. Key responsibilities The PhD
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22.03.2021, Wissenschaftliches Personal The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine