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Field
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openness to interdisciplinary research projects in the field of natural sciences and high motivation for independent scientific work very good communication and teamwork skills very good command of written
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prediction technologies, and handheld devices, present novel opportunities for African livestock farmers to adapt to climate change and improve environmental performance. The aim of this research is to
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | about 2 months ago
investigated by in situ X-powder diffraction, scattering techniques, and spectroscopic measurements. The in situ/operando experiments will be performed in our laboratories and at large research synchrotron
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particular area, we place particular emphasis on counteracting this imbalance. If they have the same aptitude, qualifications and professional performance, we give priority to people with severe disabilities
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variety of academic backgrounds, including but not limited to: Computer science (e.g. in AI/ML, systems, HCI, security, privacy) Law (data protection, tech regulation, digital rights) Public policy or other
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part of the work, the applicant (m/w/div) is expected to participate in the lnstitute's structured doctoral program in order to successfully complete the dissertation. The initial appointment is for one
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of the doctoral project is positively evaluated after the first two years. CMS’s inter-disciplinary team is performing research in the broad field of computational methods for the built environment. Particular
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at one of these three universities, you will participate in an intensive research, cooperation and exchange program jointly supervised by internationally renowned researchers from all three locations
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- within the framework of the doctorate can be supported. The agreed working time currently amounts to 39 hours per week. Payment is equivalent to a 65% position under the German TVöD-E 13 payment scheme and