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Health at the University of Copenhagen. https://ifsv.ku.dk/ The Section is spearheaded by Professor Søren Brunak and combines a wide range of expertise and resources in data science and artificial
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administration and maintenance knowledge and skills using permit and plan review software. Thorough knowledge of the principles and procedures of record keeping, and report preparation. Strong computer skills and
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enhancement of the student experience through innovative methods especially targeted towards online students. This position will develop creative approaches for online community development, engagement, and
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biosensor imaging, and behavioral pose estimation. The specialist will integrate multimodal datasets and apply advanced statistical and machine-learning methods to uncover relationships between gene
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B-0123-25 – Research Initiation Grant (BII) – 19/12/2025 – O-0002-LX-19 and O-0003-LX-15 – Own funds
19 Dec 2025 Job Information Organisation/Company Instituto de Telecomunicações Research Field Engineering » Electrical engineering Engineering » Computer engineering Other Researcher Profile First
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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer
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. The recruited IR will therefore engage in an exploratory approach to predict binding sites on alternative E3 ligases and identify new E3 ligase ligands, relying on druggable pocket detection methods and in silico
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. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning
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computer engineering or related fields; • Knowledge of Extended Reality application development and/or knowledge of machine learning, information visualization, and data analysis algorithms and methods
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world. We look forward to receiving your application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is