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our enthusiastic and collaborative group spirit. Post-doc: The applicant is expected to have a solid publication record in theoretical CS. Experience with biological applications, robotics applications
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Researcher (m/f/d) (salary group TV-L E13, 100 %, 22 months) Preferred start date is as soon as possible. Duties and functions: Intuitive information processing has clear advantages for human cognition but
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Work group: Gerics - Climate Service Center Area of research: Scientific / postdoctoral posts Starting date: 16.06.2025 Job description: PostDoc Position - Resilience enhancement through NBS
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compiling and analyzing (geostationary) satellite datasets with km‑scale simulation data and have the autonomy to set your own scientific emphasis. As team member for the ERC Starting Grant “MesoClou”, you
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. The role involves setting up experimental models using Particle Image Velocimetry (PIV) and performing Computational Fluid Dynamics (CFD) simulations to analyze fluid flow and deposition patterns. The data
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Your Job: Combine multimodal brain imaging with advanced image-processing, data science, and AI techniques to perform image alignment, segmentation, and classification to construct and validate
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will be required to submit personal information. Please be sure to refer to the respective Privacy Policy of each institution. By submitting your application, you confirm that you have read and
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fusion energy research Work in an excellently equipped research centre with cutting-edge laboratories and on-site computer clusters No teaching requirement, you can spend your working time for research
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months ago
explicitly encourages women to apply for this position. The IPP is committed to employing more disabled individuals and especially encourages them to apply. For information on data protection and the handling
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integrate large-scale sequence and RNA-seq data from internal and public resources. You build a reference library of predictive regulatory motifs. You use network analysis and random-forest approaches