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computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 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
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developing and exploiting expertise in atmospheric physics, instrumentation, analysis and modelling to serve emerging societal needs. The department Modelling of Atmospheric Processes develops the upper
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candidate (m/f/d) has expertise in population genetics, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (python, R, matlab etc
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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in the nearest future a doctoral degree in the above-mentioned fields; are curious, highly motivated and self-driven, able to work independently, have a collegial attitude, have a solid background in
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research that advances our understanding of population processes is key.Examples of themes that we are interested in strengthening include (but are not limited to):The use of advanced statistical analysis
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
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with R, statistical and spatial analysis Excellent communication and teamwork skills Excellent organizational skills Experience with field work in post-disturbance forest conditions (desired) Experience
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ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction of our work: Lauer et al. (2022): Metabolic