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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly
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the development of PEF Category Rules (PEFCR) for space. About the host organization The University of Stuttgart was founded 1829. The university covers an interdisciplinary profile with a focus on engineering
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of ISAS and the Leibniz association Training and scientific development opportunities in an international environment and an excellent working atmosphere in a very dynamic and professional team Extensive
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at gsnas.fu-berlin.de Required Documents Required Documents Motivation letter CV Certificates Research expose References Language certificate Application Application https://www.jfki.fu-berlin.de/en
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neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial
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and New Year’s Day) KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually e.g., through training and networking opportunities
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of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine:The program aims to form a bridge between Science
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be defined within different manufacturing techniques of lightweight structures to enable novel development of materials and process design. The PhD position will be supervised by Prof. Noomane Ben
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context