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-cell activation, although several receptors on the cell surface have been identified as being involved in this process. This project aims to investigate two significant receptors on T cells, CD4 and
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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) classification and utilization based on advanced AI technologies, such as regenerative AI, image processing and reinforcement learning, that can improve the energy efficiency and reduce the operating cost and
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School of Engineering Sciences at KTH Project description Third-cycle subject: Biological Physics We are looking for a motivated student interested in biophysics and live-cell imaging to join the
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organization of courses and workshops in digital image processing and analysis with life science applications. What we offer A position at a leading technical university that generates knowledge and skills for a
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research school. Data driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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measurements to the results of existing techniques using backscatter to quantify forest attributes through synthetic aperture radar imaging. The overall project, spanning multiple institutions, aims to produce a
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, this combines expertise in electroactive polymers, chemistry, microfluidics, neurobiology, microbiology, physiology, pathology and intravital imaging. Other areas of research include renewable
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-rich sequences. These intricate structures are thought to function as critical protein-binding sites, influencing essential processes such as transcription, replication, telomere stability, and DNA
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close collaboration with world leading CMOS design engineers and scientist locally and within INFN, Turin, Italy. The aim of the research is to provide the next generation of sensors for molecular imaging