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approaches to address current questions with relevance to society (e.g., sustainability, inequality, corporate governance). We work with both qualitative and quantitative empirical methods. Our teaching is
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 3 days ago
the intertidal midge Clunio marinus (Diptera) as a model organism and apply methods ranging from molecular biology and evolutionary genomics to behavioral experiments and ecological field work. We are looking
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characterization of interface deformation mechanisms, including advanced SEM and TEM methods Finite Element Modeling to design and optimize micromechanical testing geometries Timely dissemination of research
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous
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consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research
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of precursors in gram scale batches for thin film deposition of functional nanostructured materials Characterizing precursors via SC-XRD, NMR, FTIR, Thermal Analysis (TG-DTA) and other analytical methods Your
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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: - Quantum computing with qudits, quantum error correction and fault-tolerance - Quantum optics of trapped ions and Rydberg atom arrays - Numerical tensor network techniques - Topological order and (de
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sphere. Strong grounding in qualitative, quantitative, or mixed-methods research, with the ability to design and execute interdisciplinary projects. Ability to manage own working time and set internal