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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to mlcv at tu-dresden.de or to: TU Dresden, Chair of Machine Learning
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new instrument scientist. Cold and hot commissioning will provide a unique chance to learn deeply about the instrument. The combination of user service and own research (30% of the instrument beamtime
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with the University of Hohenheim and Senckenberg - Leibniz Institution for Biodiversity and Earth System Research (https://www.terra-cluster.org ). TERRA will develop an integrated understanding of how
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an interdisciplinary, international team. • Good command of English required; willingness to learn German is expected. We are offering • An exiting international research environment in one of the best universities in
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working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab meetings, meetings with collaboration partner, national and international conferences Assisting in
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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mechanisms Motivation to work in an interdisciplinary team Very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported
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The Center for Molecular Bioengineering (B CUBE) is an interdisciplinary research center focusing on three research dimensions: Bio-prospecting, BioNano Tools, and Biomimetic Materials (see https
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and simulation Prior experience with particle accelerators and/or FELs is highly desirable Familiarity with machine learning techniques is a plus but not necessary Excellent command of English is