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Field
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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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Skills/Qualifications Must have, at the start of their PhD programme, a Master (or equivalent) degree in Mechanical Engineering, Physics or Photonics with solid knowledge of optics and its applications
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The Brandenburg University of Technology Cottbus-Senftenberg (BTU) bundles top-level research and transfer at an international level, thereby creating an interdisciplinary innovation network and an excellent
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the doctoral network, including 4 training schools and two workshops. As a participant of the project, you will become part of the group ‘Computing in Dynamical Systems’ at PGI-14. Background MINDnet
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work Your Profile: Completed university degree (Master`s) in a subject with a strong focus on chemical engineering, e.g. process engineering, mechanical engineering, technical chemistry, relevant
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and training provision within CAFE-BIO are available from the network website ( https://cafe-bio.org ) and the official EU page for the network ( https://cordis.europa.eu/project/id/101226762
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
Institute for Manufacturing Engineering and Automation (IPA) Mannheim, as well as other national and international research partners. Active participation in interdisciplinary research networks and the
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, such as life sciences, mathematics, physics, computational sciences, and engineering as well as philosophy. For more information, please visit https://www.en.uni-muenchen.de/about_lmu/index.html 70
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quantitative profile • Experience with quantitative research methods and data analysis • Knowledge of network science methods, natural language processing, or computational text analysis is an advantage