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Your Job: QENS and INS experiments to investigate the diffusion dynamics of water and ligand molecules on metal oxide nanoparticle surfaces, accompanied by complementary experimental techniques or theoretical simulations Characterization of the magnetic modes in iron oxide nanoparticles using...
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but
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parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The advertised position is available for 3 years. We look forward to welcoming a team player with high
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-responsive proteins to develop genetic switches and circuits in therapeutically relevant bacteria. Your tasks: Use computational tools to design protein structures with desired properties Produce
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extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation
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in full time. Your tasks: As one of three postdoctoral scientists of the r-SOC work package in the Future Laboratory Green Hydrogen, you will be responsible for setting up and operating a pressure
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research institutions, and a research and development provider for numerous companies throughout the world. The...
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30.05.2023, Wissenschaftliches Personal Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension to 5 and more years
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good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline