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Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly informative but also pose significant privacy risks. Your work will focus
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or Computer Science; Human-computer Interaction, Spatial Cognition or related areas; Engineering, Applied Mathematics, Statistics or another Quantitatively Oriented Discipline. Application procedure Your complete
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. The duration of the position is three years. Your work tasks In this PhD position, you will work with the spatial and temporal dynamics of shallow groundwater in urban areas. The overall aim is to obtain a
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, documents, and other evidential materials. Hyperspectral imaging combines spectroscopy and imaging to provide detailed spatial and chemical information with high resolution. In this project, you will
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for efficiency monitoring and fault detection, combining sensor data, system layout knowledge, and physical principles to extract spatial-temporal features and predict equipment behaviour; 2) Statistical anomaly
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
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. The PhD student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project
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a SU PhD scholarship is that you are enrolled as a PhD student at the Graduate School at Arts. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific-calls Requirements Research
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on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 43. Questions For specific
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at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by