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qualifications include: Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field; Strong background in Deep Learning (e.g., Transformers, foundation models); Strong programming
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A postdoctoral researcher
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section Help design and pilot an outreach programme for Danish school classes linked to the monitoring work Help organise two workshops bringing together interdisciplinary expertise from within and beyond
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interaction, contact-rich manipulation, and force-aware behaviors Integrate robotic manipulators with mobile bases, perception systems, and onboard sensors Program and deploy robotic systems for experimental
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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also advanced scanners at our disposal. 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
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description You will be working primarily with collaboration parters of remote handling and maintenance under the EUROfusion program The position will focus on aspects of dynamics and control of robotic
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power. The project is funded by an ERC Starting Grant, the flagship funding program of the European Union, which supports frontier, cutting-edge research. Read more about the project here in an interview
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strengthening global capacity for phenotypic and genomic surveillance of antimicrobial resistance, including the development of proficiency tests, external quality assurance, and laboratory training programs