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to a wide range of state-of-the-art imaging, metabolomics, genomics and screening facilities. Project Description Metastatic cancer of various cancer types is characterized by rapid progression and low 5
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and Alzheimerâ™s disease on memory processes. Research projects will involve functional brain imaging techniques (fMRI), behavioral measurement, and computational modeling approaches. Opportunities
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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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in supervising doctoral theses; postdoctoral research experience carried out at reputable institutions abroad in the fields of biomedical informatics, image and signal processing, and artificial
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students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A PhD position, fully funded for three years
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imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots. Validation and experimental evaluation of control algorithms on robotic platforms Profile and
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on the part of the assessment that relates to the applicant. You can read about the recruitment process at: https://employment.ku.dk/faculty/recruitment-process/ Please note that the applicant will be
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: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly
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Resonance Imaging (MRI). This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. Candidates must have a PhD degree in the
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, such as AI-driven virtual cells (AIVC), while contributing to developing image-based biomarkers (digital pathology) and AI-based structural antibody design. For this task, a large data lake containing