151 phd-studenship-in-computer-vision-and-machine-learning PhD positions at DAAD in Germany
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Description This PhD project builds on ongoing research projects in the area of photocatalytic membranes at IAMT. Current work will be expanded to (select) novel materials and membrane preparation
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degree who want to pursue PhD courses at one of the partner institutions of SEARCA (UPLB, KU, IPB, UGM or UPM). What can be funded? The In-Country/In-Region Scholarship Programme supports studies in
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Description This PhD project builds on ongoing research projects in the area of Nanofiltration for Contaminant Removal at IAMT. Novel nanofiltration membrane materials will be examined with
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Areas of study Greek Studies, Latin Studies, American Studies, English Studies, Book Science, German as a Foreign Language, German Studies, Nordic Philology, Miscellaneous, Nordic Studies, Scandinavian Studies, Cultural Studies, Media Culture, Digital Media, Media Studies, Modern Greek Studies,...
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requirements must be met? Doctoral candidates or participants in a combined Master and PhD programme who commenced their studies at least one year before. Doctoral students with a confirmed job offer for after
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Description This PhD project relates with ongoing research projects in the area of renewable energy powered membrane processes, in particular solar-powered electrodialysis at IAMT. The removal
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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available in the further tabs (e.g. “Application requirements”). Programme Description The DBU scholarship programme for PhD students aims to support young academics in the field of applied environmental
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, computational biology, computer science, epidemiology/public health studies and related subjects are invited to apply for the international PhD programme. PhD students are supported by a Thesis Advisory Committee
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available in the further tabs (e.g. “Application requirements”). Programme Description The Munich Aerospace e.V. Bavarian Research Network was initiated in 2010 to combine key expertise in the field