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Field
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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4th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Digital Sovereignty Apply for this job See advertisement This is NTNU NTNU
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Doctoral Programme, see Section 6-1 of the PhD regulations for more information. You must have a master's degree or equivalent in computer science, artificial intelligence, machine learning, computer vision
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from the salary. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your
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. The successful candidate will be enrolled in INN’s PhD program in Applied Ecology and Biotechnology, with a specialisation in Forestry. The PhD program helps address local and global problems concerning
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8th October 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Empirical Software Engineering Apply for this job See advertisement This is
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at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems. The PhD researcher will be
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to an obtained doctoral degree. We have a vacancy for a PhD Candidate in Databases and Search group for developing efficient search engines at the Department of Computer Science. The position is funded by
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the application Skilled in either computational modelling or experimentation, paired with the willingness to work on both Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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» Health sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Oct 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full