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Field
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design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and resource-efficiency requirements. This collaborative doctoral project brings together
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
between electrolyte-electrode interface structure and selectivity or efficiency of chemical outcome during the preparation of complex and value-added compounds directly from the readily available feedstock
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 19 days ago
of the vertebrate brain gives rise to the computational algorithms that animals use to solve real-world behavioral problems. We study this question in the larval zebrafish, where we can combine behavioral experiments
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ability to enhance and complement the existing ties between physics and mathematics at Heidelberg University, in particular connecting classical and quantum field theory and complex systems theory with
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, interactive scenarios. The goal is to understand how primates attribute perception to others do, based on their gazes and postures. Our approach dealing with complex brain and behavior data from these scenarios
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics headed by (Prof. Dr
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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Requirements: completed scientific university degree (e. g. Master's or Diploma) in physics, mathematics, computer science or a related field knowledge of information field theory and in the development and
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of interest include, but are not limited to: AI methods that meet the complexity of living systems, high-dimensional machine learning for biology, statistical machine learning, AI‑driven laboratory automation