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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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/298087/phd-candidate-in-seaweed-… Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number of offers available1Company
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information, please see the PhD Regulations . Experience from data science or relevant laboratory work. Fluency in written and spoken English in agreement with the admission criteria for the PhD program. For
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» Autonomic computing Engineering » Maritime engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 18 Apr 2026 - 23:59
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information on the admission criteria please see the PhD Regulations and the relevant PhD programme description . The documentation that is necessary to ensure that admission requirements are met must be
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17th April 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in seaweed hydrodynamics Apply for this job See advertisement This is NTNU
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, active participation in research activities, collection and processing data, publication in international peer-reviewed journals, and finally writing a PhD dissertation to be defended at a doctoral
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drilling data, digital‑twin methodologies, and AI‑driven optimization approaches to address fundamental challenges in hard‑rock drilling. As a PhD candidate, you will benefit from close supervision, access
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intelligence, data analytics, uncertainty analysis, probabilistic modelling, or statistical learning you have experience working on relevant research or project activities involving machine learning or data