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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
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(diploma, master's degree) in transport engineering or civil/electrical/control engineering or mathematics, or related study programs with a solid basis in optimization Description of the PhD topic
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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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Description The research group of Jun.-Prof. Dr. Johannes Walker welcomes applications for a Ph.D. position with a limited contract of three years according to the salary level E 13 TV-L (50 %). This position is to start at the earliest opportunity. The project will involved the development of...
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Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting October 1, 2025. The position entails 75% of the full-time
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, involving five faculties and the German Aerospace Centre (DLR), will conduct research on 11 research topics with 22 PhD candidates in the first funding period (05/2024 to 04/2029). The goal is to address
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Description Location: Hamburg, Germany Positions: PhD positions in interdisciplinary climate research Application Deadline: 15 September 2025 Start Date: (from) March 2026 Financial Support
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Description Project background: Molecular spin qubits are an appealing platform for quantum information processing due to their potential for long coherence times and high chemical tunability. Transition metal-based complexes, in particular, offer rich spin properties that can be tailored...
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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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associated PhD topics is highly encouraged Your profile Completed university studies (Master/Diploma) in STEM fields with strong background on process modelling, applied mathematics, process engineering