283 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at DAAD
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to contribute to sustainable development. To this end, scholarships are granted for development-related Master or doctoral studies for individuals who plan to pursue a career in teaching and / or research at a
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to contribute to sustainable development. To this end, scholarships are granted for development-related Master or doctoral studies for individuals who plan to pursue a career in teaching and / or research at a
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available in the further tabs (e.g. “Application requirements”). Programme Description The KAAD is the scholarship institution of the catholic Church in Germany. Applicants for this programme are from Central
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methods for photocatalytic membrane development. The project will focus on i) photocatalyst selection, looking beyond the most commonly used materials, ii) exploring options of catalyst deposition and
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the universities. Further information Through the International Offices of the participating universities (see above) and DAAD Office Bogotá WWW: www.daad.co
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available in the further tabs (e.g. “Application requirements”). Programme Description Erasmus+ mobility of individuals sponsors study periods and traineeships (work placements) in 33 specified Erasmus
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flow”, which is one sub project in the European Training Network COMBINE, where a total of 17 PhD positions are available at the premises of 14 European institutions from academia and industry: https
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are to be enabled to contribute with innovative ideas and initiatives to the development of a stable civil society. The programme enables graduates to participate in selected postgraduate courses at renowned
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? Master programme at a German university and, where appropriate, in conjunction with a non-university research Institution. Duration of the funding The scholarships for master studies have a maximum
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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic