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the statistics program at CIF, contributing to the Alarm Distress Baby Scale (ADBB) in Denmark project. Interested candidates can read more about the project here: https://psy.ku.dk/cif/english/research
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redundancy in brain signals elicited by acoustic stimuli. The PhD project falls under Research Track 1: Informational Modes of Learning. Functional connectivity captures the statistical relationships between
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behaviour. This will include developing and using state-of-the-art image recognition algorithms to create digital twin models as well as statistical and machine learning methods for analysing large-scale
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developed with the supervisors within the first two months after enrolment. You must have a two-year master's degree (120 ECTS points in STEMS, with a preference in engineering, statistics, physics
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engineering, statistics, physics, mathematics, data science, informatics or similar degree with an academic level equivalent to a master's degree. The candidate should preferably have: Dedication and the desire
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monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools
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monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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research. Successful applicants will ideally have: A relevant MSc degree in computer science, data sciences, applied mathematics, statistics, operations research, control, electrical engineering, energy
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• Knowledge of statistics and/or data science • Knowledge of Matlab, Python, or a similar programming language • Some research experience (e.g., in the form of a conference contribution, a publication, or a