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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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imaging (MRI). Towards this aim, we will develop a comprehensive mathematical and computational framework for quantitative imaging, including physical modeling and optimization of the data acquisition
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their postdocs and PhD-students. The current position will be in the research group Marine Evolution & Ecology. Naturalis has a completely new lab building, including state-of-the-art molecular facilities
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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 Wallenberg National Program for
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, computational 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
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through RNA sequencing and analyze bacterial chemical profiles using LC-MS/MS and mass spectrometry imaging. Throughout the project, you will collaborate closely with experts in sequencing, analytical
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techniques, including calcium imaging, voltage imaging, optogenetics or all-optical approach. For both PhD and postdoc candidates: Documented experience with scientific programming (Python, Matlab, R; e.g
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text or images, for example). Besides doing research, the candidate is expected to participate in educational activities (participate in seminars, be involved in teaching, exam surveillance, ...). Where
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processing, quantum communication, and quantum sensing using cutting-edge technologies such as quantum optics, quantum optomechanics, and diamond physics. Our research is primarily focused on fundamental
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will originate from understanding the driving physical processes. You will join an interdisciplinary team of several PhD students and postdocs, and have as an objective to design & execute experiments