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partner groups MPI Halle and Leiden University/NL. The successful candidates commit to actively participate in networking including regular research visits to the partner laboratories. Requirements
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spoken and written English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities A
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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or equivalent from an accredited institution Previous experience in relevant research methodology and technology and basic knowledge in gastrointestinal cancer model systems appreciated Advanced English
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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness
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of Environmental Justice (EJ) and Environmental Justice over Time (EJoT) into a unified framework for network design and resource pricing. By incorporating these vital elements into the transportation planning
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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numerical and experimental aspects, profound knowledge of control engineering, preferably with experimental experience, extensive experience in programming with at least Matlab or Python, high motivation and
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research projects in seminars and workshops with guest professors. It offers an ideal environment for doctoral candidates since it provides access to a network of internationally renowned scholars and is
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, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working environment in the fields