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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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-reconstruction Employment conditions This is a qualification position in the sense of the German Academic Fixed-Term Contract Act (WissZeitVG) and serves to support a doctoral program. The position is full-time
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an advantage Very good command of English; knowledge of German is beneficial but not required What We Offer A fully funded 4-year PhD position within a structured doctoral training program Close supervision and
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single PDF file to: ausschreibung01-26 at mpinat.mpg.de Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg 11
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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available in the further tabs (e.g. “Application requirements”). Programme Description The Ernst Ludwig Ehrlich Studienwerk (ELES) is one of the foundations for the development of talent which are supported
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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materials, sensors/biosensors, polymer science, and micro-/nanofabrication techniques is desirable Very good written and spoken English skills Our offer A vibrant research community in an open, diverse and
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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e.g. Cell Culture, Omics approaches or Molecular Biology Basic programming skills (e.g., Python or R) or motivation to learn Fluency in English is required; German skills are an advantage, primarily