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Field
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monitor (at runtime) their quality and performance. The position involves close collaboration with end-users at the Copenhagen Metro and Everllence, where you will apply co-design and co-creation methods
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following areas is considered an advantage: datasets in the digital cultural heritage domain; user experience design; design and implementation of open-source systems; application of AI/ML methods to cultural
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biomarkers, pain estimation scales, and user experiences Scientific reporting and presentation including writing of scientific articles No departmental duties are planned for the position. You will be part of
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biomarkers, pain estimation scales, and user experiences Scientific reporting and presentation including writing of scientific articles No departmental duties are planned for the position. You will be part of
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
End-User Tailoring: Customization, Integration, and Extension. In Computers and Design in Context. The MIT Press, Nov. 1997. DOI: 10.7551/mitpress/ 1966.003.0004. [5] S. Ohly and L. Bastin. Effects
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conditions in agricultural crops; (iii) Ability to design experiments and implement laboratory analysis of physiological and biochemical assays related to crop stress responses; (iv) The scientific outputs
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. Responsibilities of the position include building experiments to understand user’s decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as
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. You have experience with development and/or use of charged particle detectors You have experience in nuclear spectroscopy and data treatment You like to work in a team and to collaborate with users from
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to the needs of users ; - Sense of contact within the framework of a multi-site team ; - Adaptability to meet user needs ; - Rigor and organization to carry out the project. Desired qualifications and experience
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will address the intricate challenge of enabling AI to learn continuously and collaboratively from wearable or mobile sensor data without compromising user privacy. Your efforts and collaborations with