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Your Job: develop numerical and analytical techniques to simulate and control the time dynamics of quantum technology devices implement and optimize gate operations and artificial Hamiltonians
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angiogenesis and stress. We are seeking for 2 PhD students (m,f,x) (E13 TV-G-U 65%) for two projects with a focus on “Epigenetic nuclear regulation by lipids and non-coding RNAs” Life Science, Biochemistry
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
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06.06.2025, Wissenschaftliches Personal We are looking for 1 PhD Position in Robotics and AI to work at the Technical University of Munich (Garching Campus) within this multi-disciplinary cohort. We are looking for 1 PhD Position to work at the Technical University of Munich (Garching Campus)...
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Center (DKFZ) Job-ID: V000014054 Field of application: Klinik für Gastroenterologie, Infektionen und Vergiftungen Location: Heidelberg Job Category: Science and teaching Working hours: Part time (65
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) via e-mail and as a single PDF file to: ausschreibung10-25 at mpinat.mpg.de Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut
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, master’s degree) in transportation, computer science or related fields experience with transport models and/or simulation tools interest in interdisciplinary research on the analysis and modeling
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RPTU University of Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 21 hours ago
lectures which are offered by the Physics Department of RPTU within the Master of Science in Advanced Quantum Physics programme: https://physik.rptu.de/quantum-master/ The detailed programme of the lectures
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capture, CO2 utilization and negative emissions options in a greenhouse gas-neutral energy system Your Profile: • Master`s degree in the field of natural sciences, engineering, industrial engineering or a
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addition to technical models allowing to assess technical scaling and an optimal operation. The optimal plant design is identified by considering the energy supply system, the choice of capture technology, the DAC