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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 3 hours ago
information, visit our website (www.ds.mpg.de/lmp ). Your profile We are looking for excellent, enthusiastic and self-motivated researchers with relevant background and good communication skills to join our
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neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in English. We offer
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assessment of materials using microbial communities Processing and analysis of high-throughput sequence data (DNA, RNA, community data, whole genome data, data mining) Data management for the division
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testing Experience in the field of fibre reinforced composites and/or simulation of polymeric materials Interdisciplinary collaboration within the team and with external partners Knowledge in data
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to develop a biogeodynamic model, by coupling a trait-based eco-evolutionary model (e.g. AdaScape) into a reduced-complexity river delta model (e.g. DeltaRCM). We will use the model to synthesise information
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case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are
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recruiting is decentralized - your application will be reviewed directly by the specialist department in which you could work in the future. More information about our application process Please send your
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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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time models, including options close to full-time, allow you to tailor your working hours to suit your individual needs. For more information, visit: https://go.fzj.de/near-full-time LEAVE: You will
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The project will require coding for data analysis and statistics, as well as NGS data analysis. Experience with either of these would be advantageous but an eagerness and commitment to learn is more important