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strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center
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RPTU University of Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 24 hours ago
Degree PhD Course location Kaiserslautern Teaching language English Languages English (100%) Programme duration 6 semesters Beginning Winter and summer semester Application deadline 15 June
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the umbrella of the Dresden International PhD Programme (DIPP) Teaching language English Languages All courses are held in English. The primary language in the labs is English. The PhD thesis is written and
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Technische Universität München, Physik-Department T30f Position ID: TUM -Physik-Department T30f -PHD [#27986] Position Title: Position Type: Student programs Position Location: Garching, Bayern
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: "
" and "InPharma" Training in software application skills and programming PDF Download Certificates for specific modules are awarded Yes International elements International guest lecturers -
feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole
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, the lecturer, etc.) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application deadline All applicants: 15 February for the following winter semester Tuition fees per
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information on beginning, duration and mode of study No specific regulations Application deadline No specific deadlines Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint
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semesters Beginning Winter semester Application deadline March/April, see: http://www.cim-imprs.de Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the