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understanding of life on the molecular level. More specifically, we want to study the behavior of proteins. For instance, we believe that the methods we are developing can be used to gain new insights on oligomer
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look forward to receiving your application! At the intersection between AI and single atoms. Your work assignments We are looking for a PhD student with a background in machine and deep learning with
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-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 processes to human
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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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Lecturer. Background 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
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theory, and/or formal verification of automation systems. The PhD should have been awarded no more than three years prior to the application deadline.* Strong written and verbal communication skills in
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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
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research at the department, such as: real-time and embedded systems distributed systems security and privacy formal methods artificial intelligence and machine learning Pedagogical expertise The pedagogical
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research at the department, such as: real-time and embedded systems distributed systems security and privacy formal methods artificial intelligence and machine learning Pedagogical expertise The pedagogical
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, work together and exchange knowledge, which promotes a dynamic and open culture. Qualifications - This is how the position is assessed: You need to have met the following two formal requirements by