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, computer science, or a closely related field Applicants holding a master’s or doctoral degree are preferred Demonstrated expertise in generative AI tools, including text-to-speech (TTS), large language models (LLMs
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, computer science, or a closely related field Applicants holding a master’s or doctoral degree are preferred Demonstrated expertise in generative AI tools, including text-to-speech (TTS), large language models (LLMs
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is preferred but not required. - Ability to program in a modern computational language (e.g. Python). Application Instructions Please upload the following with your application: - CV
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the Department of Speech-Language-Hearing Sciences The department offers internationally recognized programs in speech-language hearing sciences (BA, Ph.D.), speech-language pathology (M.A.), and
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the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in English and include a curriculum vitae, degree certificate, a
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Your Job: We are looking for a highly motivated postdoc to join the neutron backscattering spectrometer team to support the instrument development program for the instrument SPHERES. To further
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is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
can apply for this position by submitting the following documents through the MPG postdoc program website (https://postdocprogram.mpg.de/node/21092 ): Motivation letter detailing your background, reason
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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
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-term interest in progression to a doctoral programme and conducting research in economics. In your application, please include a 200-word statement about what you expect to like the most and least about