412 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions in Norway
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programme in Biology within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. As an employee at NTNU, it
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the mandatory PhD research education programme Develop a hybrid numerical and data-driven method to integrate natural design principles into the development of bioinspired materials Perform independent, high
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cohort data and/or data from national registries Experience with clinical intervention trials Interest and experience with user participation in research Interest and experience with open science practices
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education. You must meet the requirements for admission to the faculty's Doctoral Programme Excellent written and oral English language skills PLEASE NOTE: For detailed information about what the application
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Doctoral Programme - PhD - Faculty of Engineering Science - NTNU You must have prominent skills in using GIS software (such as QGIS or ArcGIS Pro) and be comfortable working with large datasets. You must be
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of scientific staff. Degrees are offered at bachelor and master level, plus a clinical training programme, and the PhD programme has 140 students. Questions about the position Vegard Skirbekk Associate professor
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5 Jan 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department The Department of Clinical and Molecular Medicine (IKOM) Research Field Medical
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relevant Master’s degree (or equivalent) in design, industrial design, human–computer interaction, robotics, human–robot interaction, human factors, cognitive psychology, or another relevant field have a
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motivated Postdoctoral Fellow with strong expertise in RNA-seq and multi-omics data analysis. Candidates should be proficient in Python and/or R and have a solid background in Biology, Computational Biology
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be proficient in Python and/or R and have a solid background in Biology, Computational Biology, or Bioinformatics. The successful candidate will work in close collaboration with an interdisciplinary