51 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" positions at Aalborg University
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machine learning is advantageous Interest in data mining and database management Programming skills e.g. in R or Python Good analytical and communication skills. Proficiency in written and spoken English is
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employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research
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), as well as a proposed research plan (maximum 2 pages). We expect to conduct interviews for stipend 1 and 2 in week 21 and stipend 3 and 4 in week 22. PhD stipends are allocated to individuals who hold
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AI within the group. Teaching activities in the position include lecturing, supervision, coordination and planning of Problem Based Learning(PBL) programs at bachelor and master levels as well as PhD
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be enrolled in Aalborg University Business School’s Economics, Business, and Management PhD program. The position is part of the Carlsberg Foundation-funded Green Transition Policy Centre(GreenTraC
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on the PhD programme, application procedure, and admission requirements. The application must include the following and be written in English or Danish: Copy of diplomas/transcripts List of written work
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teaching at different levels. Including tests/exams, course/study programme management as well as contributions to the development of teaching activities and teaching material. Emphasis is placed
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manipulation. Specific requirements Master's degree in Biomedical Engineering, Robotics or related fields Experience with processing and analysis of electrophysiological signals Strong programming skills (Python
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how you plan to go about the project. Curriculum vitae (max. 2 pages) Diplomas confirming academic degrees (master’s degree), including academic transcripts We expect to conduct interviews between 19-30
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employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research