73 programming-"Multiple"-"Embry-Riddle-Aeronautical-University"-"U"-"U.S" positions at Aarhus University
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researchers in securing significant external research funding. Supervise PhD students and contribute to the development and delivery of PhD education and training programs. Conduct and lead high-impact research
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welfare for animals and humans. The activities form the basis for the research-based public sector consultancy and degree programs covering bachelor's, master's and PhD degree programs within animal science
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, experience in degree programme and curriculum development at universities or similar institutions will be an advantage. The successful applicant will be expected to teach in English and, within a three-year
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programme, and the centre leader for science studies. The three sections are organized with two sections coordinators and one centre leader. The Department offers a broad portfolio of educational programmes
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teaching program), b) exam (formulating exam questions, grading and feedback), or c) course coordination (TA management, co-teaching organization). c. Generally positive teaching evaluations. Who we are With
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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and potentially involves company collaboration. Candidates are expected to teach and supervise students at all levels including PhD students. Our study programme portfolio contains a MSc program and a
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Aarhus University, Denmark - an international top-100 university - has made an ambitious strategic investment in a recruitment plan to radically expand the Department of Electrical and Computer
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the Central Denmark Region. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and