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Field
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postdoctoral researcher will develop and apply advanced simulation techniques, and data-driven approaches to explore complex biophysical phenomena at the cell membrane. This role provides a platform for
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assigned as needed. The ILS Lab develops innovative methods at the intersection of operations research, artificial intelligence, and machine learning to solve complex supply chain, logistics, and
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characterization of complex materials and multi-component solutions. Practical knowledge of structural and spectroscopic techniques for material and solution analysis (FTIR, XRD, SEM/EDS, ICP, HPLC). Insight
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program, as a “wicked problem,” that is, a complex, ambiguous, and evolving problem that cannot be resolved through routine and standardized public-policy tools. The successful candidate will be responsible
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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, including continuous culture systems. Skill in quantitative instrumental analyses (e.g., flow cytometry, fluorometry, and liquid scintillation counting). Skill in scientific writing and data analysis using
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materials or functional inorganic materials. Specific Requirements Experience with complex chalcogenides, mixed-anion compounds, or crystallographic analysis would be considered an advantage. Candidates
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 3 months ago
Job Offer from July 14, 2026 The newly established research group in Phase Transition Engineering (Group Leader: Dr. Leif-Thore Deck) at the Max Planck Institute for Dynamics of Complex Technical
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and spectroscopic techniques for material and solution analysis (FTIR, XRD, SEM/EDS, ICP, HPLC). Insight into acid–base and solution equilibria, speciation, and selectivity in chemically complex media
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. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description