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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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in a study cycle conferring an (PhD) degree in Arts or related areas. Candidates for the Research Fellowship, after selection, to start contracting the fellowship, must enroll in the doctoral program
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the start of the position. Both teaching and UNIPED training must occur within the 3 years of this Postdoc position Mentoring bachelor/master students and collaborating with PhD candidates
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of this Postdoc position Mentoring bachelor/master students and collaborating with PhD candidates of the aforementioned research groups, helping them with their research projects, and advising on methodology
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on the developed models for agencies/commercial partners Supervise junior researchers and master students Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or
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to protocol development, power/sample size considerations, and statistical analysis plans develop and apply advanced modelling approaches (e.g., survival and competing-risk models, causal inference methods
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models • Strong experience in spatio-temporal deep learning and ensemble techniques • Proven ability to publish research in international peer-reviewed journals • Experience with interdisciplinary
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
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produce high quality outputs. To be successful in this position, you will have: PhD in Tissue Engineering, Biomaterials, Biomedical Engineering, Cell Biology or related field. Experience in tissue