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Infrastructure? No Offer Description Work group: IAS-8 - Datenanalyik und Maschinenlernen Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student in machine learning to work within
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Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau | Landau in der Pfalz, Rheinland Pfalz | Germany | 2 months ago
to develop the research of the position holder into adjacent areas such as computer science, artificial intelligence, or machine learning. Existing or planned involvement in at least one of these areas until
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international project partners, embedded in an ERC-funded project. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which
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Degree Dr rer nat Course location Münster Teaching language English Languages English only Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline https
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Interaction’ will have the following responsibilities: Development of methods for automatic knowledge extraction and learning of planning models from textual data Development of hybrid machine learning models
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collection (e.g. case studies, surveys, experiments) Teach courses at the Technical University of Munich (limited teaching load) The Professorship offers: A stimulating research environment at one of Europe’s
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for doctoral programmes: any time Application deadline Consult the website: https://www.sgbm.uni-freiburg.de Tuition fees per semester in EUR Varied Combined Master's degree / PhD programme No Joint degree
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items. For details, see: https://www.uni-jena.de/en/Jena+living+international . Funding opportunities within the university Yes Description of the above-mentioned funding opportunities within
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to actively shape its holistic development (https://www.tu-braunschweig.de/hochschulentwicklung ). In addition to the classic service areas of a university (research, teaching and studies, transfer
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stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file tolinda.petersohn@tu-dresden.de or to: TU Dresden