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Institute to develop and train machine learning algorithms for text categorization (Natural Language Processing) and image interpretation. Your primary task will be to create algorithms capable
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that interrogation of these understudied circuits will advance our understanding of how the brain and body achieve important physiological processes and will contribute to the development of novel approaches to treat
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multidisciplinary academic environment, representing medicine (e.g., neurology, epidemiology, psychiatry, geriatrics), psychology (e.g., cognition, structural, functional, and molecular brain imaging), and social
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radiological images? We have established a national platform for validating and evaluating the accuracy and reliability of AI algorithms in the detection and diagnosis of breast cancer based on mammography
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Computer Science and Engineering, or a closely related field such as signal processing, machine learning, statistics, or bioinformatics. Expertise in image analysis and deep learning models, with a focus on
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sensorimotor circuits using electrophysiological, imaging, and molecular techniques. Duties The project aims to understand the role of sensorimotor circuits for whole-body motor behavior in mice. The successful
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methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and
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an open position for a postdoctoral fellow. We are searching for talented and enthusiastic postdocs interested in studying sensorimotor circuits using electrophysiological, imaging, and molecular techniques
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with a backround in engineering or brain-imaging as well as competence in data analysis and programming. You have basic knowledge in brain diseases, dementia or cognition. Experience in processing brain
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and behavioral tests - Can perform intra-cranial stereotaxic surgery - Have strong experience with immunohistochemistry and confocal imaging The following skills represent a strong advantage