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Field
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the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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the assessment that relates to the applicant him/herself. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ The applicant will be assessed according
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. You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/ . Interviews will be held on 18 March 2027. Please refer to the following no. in future communication
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science or similar area is required. The candidate is expected to have a profound knowledge on the majority of the following topics: Embedded systems programming Robot Operating System (ROS) experience Medical imaging
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hydrogen storage, downstream processes, and energy demand, to enable more efficient, flexible, and economically viable Power-to-X operation. This position is expected to start from 1st of November 2026 or as
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about PhD studies at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
full project description here, including a detailed description of SPs and WPs: https://pure.au.dk/portal/da/projects/human-ai-collaboration-imaginaries-interventions-interfaces . Information about the
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework