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Field
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Degree Dr rer pol or PhD Course location Berlin Teaching language English Languages All courses, workshops, and other events are held in English. All communication within the programme is in English
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skills by covering the costs of one preparatory language course in German as a Foreign Language ("Deutsch als Fremdsprache", also known as "DaF"). Programme duration 6 semesters Beginning Only for doctoral
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly
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Degree Dr rer nat (Doctor rerum naturalium) PhD (Doctor of Philosophy) Course location Ulm Teaching language English Languages Our international PhD programme is only offered in English. Programme
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 21 hours ago
cooperates closely with all faculties , the BTU Research Department, and the BTU Welcome Centre . Qualification Programme: In addition to your independent research, the GRS also offers you a comprehensive
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resulted in many models of limited effectiveness. This project proses to take a Systems Architecture and Systems Engineering approach to neuropathic pain. Systems Architecture and Engineering is used
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fee sponsorship for the duration of the course through Research Training Program (RTP) Amount: 100% fee remission and up to $120,400 Duration: One or more years Quantity: 1 Eligibility and selection
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-throughput datasets generation and analysis, prediction of microfluidic architecture performance, or guided device design. Condition of Employment Reliability Status Language Requirements English Note
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of specialization include: Web Application Engineering Model-based Systems Engineering AI for Software Engineering Software Engineering for ML Big Data Architectures Cloud Architectures Contribution to Software
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architectures which leverage our increasing understanding of the behaviour of neural networks trained with DP to ameliorate these trade-offs in biomedical applications. - Foundations of private machine learning