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group belonging to the unit of surgery and oncology. Your mission The group performs research on colorectal and pancreatic cancer and is looking for assistance with histological data analysis for a
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role in applying advanced imaging methods for processing and evaluating PET, MRI imaging data, performing statistical analyses, and preparing scientific manuscripts under supervision. The group provides
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cancer precision medicine and computational pathology. Our research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data
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systems neuroscience approach the CarlenLab studies the cellular logic of information processing in the prefrontal cortex (PFC). The studies are mainly performed in behaving mice using high-density
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to link the perception of odors to brain processing through the use of a range of different methods, including electrophysiological measures (EEG), functional and structural brain imaging, as
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the mouse model. We believe that interrogation of these understudied circuits will critically advance our understanding of how the brain and body achieve important physiological processes and will contribute
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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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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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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