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inference methods (e.g., fixed effects, IV, DiD) Advanced regression techniques - Strong programming and analytical skills (R, Stata, Python, Mplus, or similar). - Evidence of research productivity or strong
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. The successful candidate will strengthen the theoretical backbone of the project by extending the SOT formalism used by these tools beyond its current spin-only, itinerant-carrier description. Main Tasks and
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analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency and quality. Collaborate with
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diverse industries. The empirical setting for this project is business in Europe. Methodologically, the project will draw on several methods and instruments, including data collection from corporate
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computational methods to investigate quantum, optical, thermal and spin-dependent transport in complex materials. A central expertise of the group is the LSQUANT methodology, a suite of linear-scaling, real-space
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nationality that allows access to public sector employment. If the selected candidate does not hold such authorization, the contract shall not be formalized until the relevant documentation is in order. Should
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office, control of food quality, safety and security applications where either an emergency exists or an alternative method toward the sophisticated and expensive laboratory instrumentation is being
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models, stochastic processes on networks and graphs, network communication processes, and reports. The fellow will work with the other SUPPORT fellows to develop statistical methods and data resources
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research on quantum materials, superconductivity, magnetism or strongly correlated electron systems. Relevant expertise should include low-temperature methods, advanced characterization of materials
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security applications where either an emergency exists or an alternative method toward the sophisticated and expensive laboratory instrumentation is being required. Main Tasks and responsibilities