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21 Sep 2026 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences Researcher Profile First Stage
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Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure
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. To analyze and control thermoacoustic instabilities, we combine fluid mechanics, acoustics, and combustion with methods from control engineering, nonlinear dynamics, and data-driven modeling (machine learning
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 12 days ago
investigations of meteorites as well as numerical modeling onstate-of-the-art supercomputers. The Department Solar & Stellar Interiors at MPS invites applications for the position of a Postdoctoral Researcher (f/m
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, interactomics, structural biology, and imaging datasets into predictive computational frameworks. Application of atomistic simulations, coarse-grained modeling, RNA folding prediction, RNA-protein and RNA-small
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on the requirements outlined in this job posting Good command of English The following are considered a plus: Experience in data analysis and modeling, ideally using Python Experience in energy meteorology Experience
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Albert-Ludwigs Universität Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 27 days ago
Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 18:22 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week
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maintainability of the code base Desired qualifications: Degree in oceanography, climate science, physics, mathematics, or a related field (PhD is advantageous) Experience with numerical modelling and analysis
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qualifications: Degree in oceanography, climate science, applied mathematics, computational physics, or a related discipline (PhD is advantageous) Experience with numerical modelling and analysis of large
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, climate science, physics, mathematics, or a related field (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of ocean biogeochemistry or Earth