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Degree PhD in Nanosciences Course location Osnabrück Teaching language English Languages English Programme duration 6 semesters Beginning Winter and summer semester Application deadline 15 January
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professionally relevant background in vocational education and training, educational science or another relevant field. Your education must correspond to a five-year Norwegian degree program, where 120 credits
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university degree (Master's, "Diplom" or state exam) in life sciences, medical sciences, pharmacy or related fields to apply for admission to the BIGS DrugS PhD programme. Language requirements English
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applications should be made online . Under ‘Campus’, please select ‘Loughborough’ and select ‘Programme’ as ‘Chemical Engineering’. Please quote the advertised reference number ‘CG-BB-2507’ in your application
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solely in English. Additional relevant course offers in German language may be taken by doctoral candidates proficient in German and will be acknowledged by the programme. Programme duration 6 semesters
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 13 hours ago
are held in English. Participants can choose to write their doctoral theses in English or German. Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline There is
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submit NOKUT approval of their master’s degree The grades at the qualifying MSc examination needs to be B or better (ECTS scale from A-E) to be admitted to the PhD program. See admission requirements: PhD
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oppdatert 02.08.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller
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AIPhD in computational modelling RAM³ is a WASP-WISE NEST project This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability All early-stage researchers recruited
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled