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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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, transcriptomics, bioinformatics, and advanced imaging. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships. We continuously strive
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advanced imaging. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships. We continuously strive to create conditions that promote job
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-established collaboration with the Lund Stroke Imaging Group, led by Associate Professor Johan Wassélius. The research environment is interdisciplinary and based on close collaboration between neurology and
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Medical Science, Faculty of Medicine), led by Dr. Giulia Saredi, studies the mechanisms that regulate chromatin structure and genome stability in human cells, and how these processes safeguard human health
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 16 days ago
insufficiently established, and emerging modalities capturing processes upstream of atrophy require validation. This PhD project uses multimodal neuroimaging to decipher early neurodegenerative disease across
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) at the Department of Computer and Information Science at Campus Valla in Linköping (co-supervisor Sebastian Mair ). The MIT division researches and conducts education in areas such as computer graphics, image
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strong interest in plant molecular biology and live-cell imaging who is enthusiastic about developing new experimental approaches. We expect the candidate to hold an academic background in Plant Biology
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of various nanoparticle shapes will be studied, for example through lysosomal rupture. The project will also aim to conduct the first demonstration of antibody-guided imaging and potential therapy using
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is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels