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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process
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, is established to contribute to the development of Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent
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are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
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agreed upon with the relevant union. The position is a full-time position. The researcher position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You
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to device design, control, and evaluation The ideal candidate will lead their own project, and support the engineering efforts for several PhD student led projects. Qualifications MS in Mechanical Engineering
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the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
-to-X (P2X) feedstocks derived from renewable electricity. This position is embedded within the vibrant research environment of DTU Biosustain, which features cutting-edge infrastructure—including our
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DEPARTMENT OF HEALTH TECHNOLOGY AND INFORMATICS Research Assistant Professor in Medical Laboratory Science / Biomedical Science / Medical Imaging and Radiation Science / Medical Physics / Medical
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Pathogenesis in the age of the microbiome (MICRO-PATH; https://micro-path.uni.lu ) is a highly competitive, interdisciplinary, research-intensive PhD training programme, supported by the PRIDE