27 postdoctoral-image-processing-in-computer-science uni jobs at SciLifeLab in Sweden
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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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KTH Royal Institute of Technology, School of Engineering Sciences Job description We are looking for a motivated candidate interested in biophysics and live-cell imaging to join the Advanced Optical
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, electrical impedance spectroscopy, optical microscopy and image analysis. The candidate will be immersed in the thriving environment at SciLifeLab, Solna, a collaborative hub for experimental and computational
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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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the natural sciences and humanities. Research and education at the Department of Ecology, Environment and Plant Sciences (DEEP) is located in the Arrhenius Laboratories, situated at the University Campus
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includes image data processing/analysis and writing project reports. Qualification requirements Required Qualifications PhD in molecular biology or equivalent competence. Experience working in a laboratory
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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and
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-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses
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the Physiology and Environmental Toxicology program at the Department of Organismal Biology. The Department of Organismal Biology teaches and studies evolution, development, and function in whole organisms
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have a background in bioinformatics, computational cancer biology, or related fields with experience in cancer and data-driven research. For more details about our research visit: www.alundberg.org