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welcomes applications from individuals with a master’s degree in the following fields: Computer Science Mathematics Natural or engineering sciences or an equivalent degree, interested in High-Performance
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systems, green hydrogen through photoelectrochemistry, and material design. PhD student Reference code: 50137691_4 – 2025/WT 1 Commencement date: as soon as possible Work location: Geesthacht (near
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Specifications. The PhD topic consists of two parts, the weighting of which can be adjusted. First, natural frequencies of different UAV categories for different power settings shall be modelled. Second, based
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smart technologies in the bioeconomy, agricultural, food and environmental policy impact analysis, and/or production efficiency and food markets. leading to an internationally competitive PhD degree and
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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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availability of resources, a position as 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
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Description In the Leibniz Institute of Plant Biochemistry, the independent research group Receptor Biochemistry invites applications for a PhD position in (bio)chemistry (m/f/d) (Salary group E13
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Description For our location in Hamburg we are seeking: PhD student - Lasers for Inertial Confinement Fusion Remuneration Group 13 | Limited: 3 years | Starting date: 01.09.2025 | ID: FSDO013/2025
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and expertise are invaluable to us as we work to improve our website. To the survey PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back
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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