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of the PhD topic (subproject A7- Reinforcement learning for mode choice decisions): This PhD project will develop and implement a Deep Reinforcement Learning (DRL) model for dynamic mode choice within
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Description As a humanistic, sustainable and action-oriented university, Leuphana University Lüneburg stands for innovation in education and science. Methodological diversity, interdisciplinary collaboration, transdisciplinary cooperation with practice and an overall dynamic development...
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Description We are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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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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collection programs (e.g. R, fomr) Very good English and German skills (or willingness to acquire them) Interest in media communication We offer Part of a young and dynamic Emmy Noether Research Group Diverse
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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subsurface leaching into groundwater within agricultural systems experience in statistical analysis of research results or willingness to acquire such as well as to complete a PhD degree self-motivated
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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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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