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Field
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national and international partners. The PhD project will focus on integrating advanced photogrammetric techniques applied to historical aerial imagery with modern deep learning-based image classification
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. The insights gained from this well-controlled model will provide a foundation for understanding analogous processes in more complex human cellular systems. The research aims to establish mechanistic
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, or analytical issues, and discuss dissemination strategies Disseminate the findings through publications, conference presentations, and public engagement Essential Criteria Qualifications PhD in psychology
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(negative stain & cryo-EM). High-resolution data collection and image processing. Candidates will have hands-on experience in these areas and a passion for molecular biology and imaging. About you The
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for the position The University of Bergen is subject to the regulations for the export control system. The regulation will be applied in the processing of the applications. About the PhD position: About the PhD
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the application process, please contact Biosciences staffing at . About you You must have a PhD (or be studying towards it) in Medical Physics or Bioengineering, Computational Neuroscience, Applied
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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functions is therefore crucial in the process of model development to the specific tasks at hand. For instance, the Hyvärinen score matching principle has been widely applied in AI systems, particularly
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allows for studying language behaviour (time-course and quantity of gaze/eye-movements), neuro-physiology of language processing in the brain and neuro-imaging (https://www.ntnu.edu/langdevlab#/view