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methods for developing games and web services that can be used to support parents, teachers and students to understand and compare different AI systems and services Decision support services to help
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Positions Country Norway Application Deadline 1 Oct 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme
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). Potential other methods include laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), Raman spectroscopy, time of flight secondary ion mass spectrometry (ToF-SIMS), electron microscopy (EM
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microbial genomics, atomic force microscopy combined with vertical scanning interferometry (ATM-VSI), x-ray diffraction (XRD). Potential other methods include laser ablation inductively coupled plasma mass
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methods. These results will be compiled into a record of glacier retreat from the LIA to the present within the Scandinavian Mountain region at human-relevant scales. Qualifications and personal qualities
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-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling in the open-source computational fluid dynamics
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publication of research or research communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities
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communication. Use of computer programming as a method of research and inquiry. Applicants will be evaluated according to admission requirements in The Faculty of Humanities' PhD Program pt. 2.1 . Applicants must
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of the position will be established in collaboration with the Department. As a PhD candidate, you must participate in the Faculty of Humanities’ ph.d programme . The PhD programme comprises a training
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for applying methods to real-world problems is considered an advantage. A strong international network is considered an advantage Personal and relational qualities will be emphasized. Research experience