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collaboration with the Chair and international partners, targeting leading international disciplinary journals in entrepreneurship (e.g. Entrepreneurship Theory and Practice) and interdisciplinary journals
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Physics Group-POSTDOC [#31036] Position Title: Position Type: Postdoctoral Position Location: Mainz, Rheinland-Pfalz D-55099, Germany [map ] Subject Areas: Physics / HEP-Phenomenology (hep-ph) , HEP-Theory
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of student researchers What you contribute Ph.D. in Electrical and Computer Engineering, Computer Science or related program Background in Information Theory, ideally with significant prior publications in
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fully funded PhD position in the area of safe data-driven system identification for cyber-physical systems, offered by our research group at the intersection of control theory, machine learning, and
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 1 month ago
to combine theory, experiment, or computational approaches to investigate how ring-attractor-like dynamics are expressed in real organisms and how they shape behavior. Possible avenues include immersive
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(LEveraging ecological theory for plant robustness Across scales: trade-offs and synergies among robustness traits in individuals for Population stability) is an ambitious, collaborative, and interdisciplinary
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of attoseconds to femtoseconds. The project will involve working with first principles time dependent density function theory (TD-DFT, as implemented in the Elk code) [1-3]. A background including experience in
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Student or Postdoc (f/m/d) for the project Theory and Algorithms for Structure Determination from Single Molecule X‑Ray Scattering Images Project description Single molecule X‑ray scattering experiments
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Proven research experience in the area of quantum algorithms or quantum information theory Good organizational and communication skills Ability to work independently in interdisciplinary teams Very good
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functional analysis as well as the theory and numerics of PDEs. Strong skills in math. modeling with PDEs Advanced knowledge in numerics and simulation, particularly for PDEs and especially with FEM Strong