46 phd-studenship-in-computer-vision-and-machine-learning PhD positions at NTNU Norwegian University of Science and Technology
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optimization. knowledge of data analysis, including statistics, and machine learning techniques. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: and willingly
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and enablers to effective collaboration develop and apply quantitative methodologies (e.g., machine learning, neural activity modeling, decision analysis) to create decision-support tools and adaptive
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particularly suitable for a PhD education. You must meet the requirements for admission to the Faculty of Natural Sciences Doctoral Program . You must demonstrate excellent oral and written presentation skills
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analysis, including statistics, and machine learning techniques Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: and willingly conduct research in a
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PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme Engineering You must have competence in the topics of thermodynamics and structural analysis for hydrogen
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the Electronic and Telecommunications PhD program at NTNU and fulfill the requirements for a PhD degree Required selection criteria Masters or PhD in experimental and theoretical integrated photonics and nonlinear