30 phd-studenship-in-computer-vision-and-machine-learning PhD positions at NTNU Norwegian University of Science and Technology
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the position. You must meet the requirements for admission to the faculty's doctoral program https://www.ntnu.edu/nv/phd You must have good written and oral English language skills. PLEASE NOTE: For detailed
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consider novel design principles combining approaches in biosensors, communication systems, and machine learning. Are you motivated to take a step towards a doctorate and open up exciting career
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to your work duties after employment. Required selection criteria You must have a relevant Master's degree in Computer Science, Artificial Intelligence, Data Sciecnce (with a focus on machine learning
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. 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 physics within three months of your employment contract start date, and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the position The Department of Marine Technology at NTNU has a PhD position related to optimal
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synthetic biology, machine learning (ML), and ultrahigh-throughput screening (microfluidics) to discover new enzymes and bioactive molecules with applications in biotechnology, medicine, and sustainability
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the position A PhD position is available in the Linder research group which is part of the Center
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are affiliated with the discipline of psychology within the PhD programme in Social Sciences at the Faculty of Social and Educational Sciences. The position is an open call within the field of psychology. Before
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requirements for admission to the faculty's doctoral program (PhD Programme in Medicine and Health Sciences - NTNU ). PLEASE NOTE: For detailed information about what the application must contain, see paragraph
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suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme . Good oral and written presentation skills in English. Experience with experimental work within