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no.: 4331 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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in the field; 5% other occasional tasks as required by the supervisor. Qualifications Required Qualifications PhD in Physics, Astrophysics, or a related field. Preferred Qualifications Experience with
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Previous Job Job Title Post-Doctoral Associate - Department of Biology Teaching and Learning Next Job Apply for Job Job ID 369337 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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, to the rigorous study of quantum many-body problems. The successful candidate is able to actively contribute to the research profile of the Faculty of Physics, teach courses (max. 4 hours/week per semester), and
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required in the organization of the logistics operations of educational processes to achieve a high quality situation where any learner at any time based on their own learning speed, level and ambition can
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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to be expert at all aspects – but instead hopefully versatile and willing to learn and expand their experience. Open to all: We run a diverse research group, supporting varied gender, ethnicity and
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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extension. Your Tasks Our overarching goal is to understand the neural mechanisms of cognitive functions, focusing on learning, attention and decision making. We investigate the contribution of subcortical